The role of exposure reconstruction in occupational human health risk assessment: Current methods and a recommended framework

References

• Abadie M, Limam J, Bouilly J, Genin D. (2004). Particle pollution in the French high-speed train (TGV) smoker cars: Measurement and prediction of passengers exposure. Atmos Environ 38:2017–2027.
   Web of Science ®Google Scholar
• Acquavella JF, Alexander BH, Mandel JS, Burns CJ, Gustin C. (2006). Exposure misclassification in studies of agricultural pesticides: Insights from biomonitoring. Epidemiology 17:69–74.
   PubMed Web of Science ®Google Scholar
• Agency for Toxic Substances and Disease Registry (ATSDR). (2005). Public Health Assessment Guidance Manual. Washington, DC: US Department of Health and Human Services, 2005. Available at: http://www.atsdr.cdc.gov/HAC/PHAmanual/toc.html. Accessed October 17, 2008.
   Google Scholar
• American Conference of Governmental Industrial Hygienists. (1991). International Workshop on Retrospective Exposure Assessment for Occupational Epidemiology Studies. Appl Occup Environ Hyg 6(6).
   Google Scholar
• American Conference of Governmental Industrial Hygienists. (2008). 2008 TLVs and BEIs Based on the Documentation of the Threshold Limit Values for Chemical Substances and Physical Agents and Biological Exposure Indices. Cincinnati, OH: ACGIH Worldwide Press.
   Google Scholar
• American Industrial Hygiene Association. (2008). Draft Documentation for the Biological Environmental Exposure Limits (BEELs). 4,4'-Methylene Dianiline and Creatinine. Fairfax, VA: AIHA Press.
   Google Scholar
• Ames BN, Gold LS. (2000). Paracelsus to parascience: The environment and cancer distraction. Mutat Res 447:3–13.
   PubMed Web of Science ®Google Scholar
• Andersen ME, Conolly RB. (1998). Mechanistic modeling of rodent liver tumor promotion at low levels of exposure: An example related to dose-response relationships for 2,3,7,8-tetrachlorodibenzo-p-dioxin. Hum Exp Toxicol 17:683–690.
   PubMedGoogle Scholar
• Andersen ME, MacNaughton MG, Clewell HJ, Paustenbach DJ. (1987). Adjusting exposure limits for long and short exposure periods using a physiological pharmacokinetic model. Am Ind Hyg Assoc J 48:335–343.
   PubMed Web of Science ®Google Scholar
• Andersen ME, Clewell H 3rd, Krishnan K. (1995). Tissue dosimetry, pharmacokinetic modeling, and interspecies scaling factors. Risk Anal 15:533–537.
   PubMed Web of Science ®Google Scholar
• Anderson PD, Yuhas AL. (1996). Improving risk management by characterizing reality: A benefit of probabilistic risk assessment. Hum Ecol Risk Assess 2:55–58.
   Web of Science ®Google Scholar
• Armstrong TW, Haas CN. (2007). A quantitative microbial risk assessment model for Legionnaires’ disease: Animal model selection and dose-response modeling. Risk Anal 27:1581–1596.
   PubMed Web of Science ®Google Scholar
• Armstrong TW, Pearlman ED, Schnatter AR, Bowes SM 3rd, Murray N, Nicolich  MJ. (1996). Retrospective benzene and total hydrocarbon exposure assessment for a petroleum marketing and distribution worker epidemiology study. Am Ind Hyg Assoc J 57:333–343.
   PubMed Web of Science ®Google Scholar
• Armstrong TW, Boelter FW, Rasmuson JO. (2009). Exposure reconstruction. In: Keil C, Simmons C, Anthony TR eds. Mathematical Models for Estimating Occupational Exposure to Chemicals. Fairfax, VA: American Industrial Hygiene Association Press.
   Google Scholar
• Aylward LL, Hayes SM. (2009). Biomonitoring Equivalents (BE) dossier for 2,4-dichlorophenoxyacetic acid (2,4-D) (CAS No. 94-75-7). Regul Toxicol Pharmacol 51:S37–S48
   Google Scholar
• Aylward LL, Hays SM, Karch NJ, Paustenbach DJ. (1996). Relative susceptibility of animals and humans to the cancer hazard posed by exposure to 2,3,7,8-tetrachlorodibenzo-p-dioxin using internal measures of dose. Environ Sci Technol 30:3534–3543.
   Web of Science ®Google Scholar
• Aylward LL, Brunet RC, Starr TB, Carrier G, Delzell E, Cheng H, Beall C. (2005). Exposure reconstruction for the TCDD-exposed NIOSH cohort using a concentration- and age-dependent model of elimination. Risk Anal 25:945–956.
   Google Scholar
• Aylward LL, Barton HA, Hayes SM. (2009a). Biomonitoring Equivalents (BE) dossier for toluene (CAS No. 108-88-3). Regul Toxicol Pharmacol 51:S27–S36
   Google Scholar
• Aylward LL, LaKind JS, Hayes SM. (2008). Biomonitoring Equivalents (BE) dossier for trihalomethanes. Regul Toxicol Pharmacol 51:S68–S77
   PubMed Web of Science ®Google Scholar
• Baird SJS, Cohen JT, Graham JD, Shlyakhter AI, Evans JS. (1996). Noncancer risk assessment: A probabilistic alternative to current practice. Hum Ecol Risk Assess 2:79–102.
   Web of Science ®Google Scholar
• Beck BD, Cohen JT. (1997). Risk assessment for criteria pollutants versus other noncarcinogens: The difference between implicit and explicit conservatism. Hum Ecol Risk Assess 3:617–626.
   Web of Science ®Google Scholar
• Belletti IL, Troschel, Pisani P, Berrino F. (1993). Retrospective assessment of exposure by experts: The example of formaldehyde, solvents and mineral oils among textile and metal workers. Int J Epidemiol 22(Suppl 2):S127–S133.
   PubMedGoogle Scholar
• Benke G, Sim M, Forbes A, Salzberg M. (1997). Retrospective assessment of occupational exposure to chemicals in community-based studies: Validity and repeatability of industrial hygiene panel ratings. Int J Epidemiol 26:635–642.
   PubMed Web of Science ®Google Scholar
• Benke G, Sim M, Fritschi L, Aldred G, Forbes A, Kauppinen T. (2001). Comparison of occupational exposure using three different methods: Hygiene panel, job exposure matrix (JEM), and self reports. Appl Occup Environ Hyg 16:84–91.
   PubMedGoogle Scholar
• Blair A, Stewart PA. (1992). Do quantitative exposure assessments improve risk estimates in occupational studies of cancer? Am J Ind Med 21:53–63.
   PubMed Web of Science ®Google Scholar
• Blair A, Stewart P, Lubin JH, Forastiere F. (2007). Methodological issues regarding confounding and exposure misclassification in epidemiological studies of occupational exposures. Am J Ind Med 50:199–207.
   PubMed Web of Science ®Google Scholar
• Boelter FW, Spencer JW, Simmons CE. (2007). Heavy equipment maintenance exposure assessment: Using a time-activity model to estimate surrogate values for replacement of missing data. J Occup Environ Hyg 4:525–537.
   PubMed Web of Science ®Google Scholar
• Bouyer J, Hemon D. (1993). Retrospective evaluation of occupational exposures in population-based case-control studies: General overview with special attention to job exposure matrices. Int J Epidemiol 22(Suppl 2):S57–S64.
   PubMedGoogle Scholar
• Boyce CP. (1998). Comparison of approaches for developing distributions for carcinogenic slope factors. Hum Ecol Risk Assess 4:527–589.
   Web of Science ®Google Scholar
• Bradman A, Whyatt RM. (2005). Characterizing exposures to nonpersistent pesticides during pregnancy and early childhood in the National Children’s Study: A review of monitoring and measurement methodologies. Environ Health Perspect 113:1092–1099.
   PubMed Web of Science ®Google Scholar
• Brown TP, Rushton L. (2005). Mortality in the UK industrial silica sand industry: 2. A retrospective cohort study. Occup Environ Med 62:446–452.
   PubMed Web of Science ®Google Scholar
• Bukowski J, Korn LR, Wartenberg D. (1995). Correlated inputs in quantitative risk assessment: The effects of distributional shape. Risk Anal 15:215–219.
   Web of Science ®Google Scholar
• Burgess GL, Dippnall WM, Ravandi MR, Cherry NM. (2004). Retrospective noise estimates for British nuclear workers using an alternative approach. Ann Occup Hyg 48:117–127.
   PubMedGoogle Scholar
• Burmaster DE. (1998a). A lognormal distribution for time spent showering. Risk Anal 18:33–36.
   Web of Science ®Google Scholar
• Burmaster DE. (1998b). Lognormal distributions for skin area as a function of body weight. Risk Anal 18:27–32.
   PubMedGoogle Scholar
• Burmaster DE, Anderson PD. (1994). Principles of good practice for the use of Monte Carlo techniques in human health and ecological risk assessments. Risk Anal 14:477–481.
   PubMed Web of Science ®Google Scholar
• Burmaster DE, von Stackelberg K. (1991). Using Monte Carlo simulations in public health risk assessments: Estimating and presenting full distributions of risk. J Expo Anal Environ Epidemiol 1:491–512.
   PubMedGoogle Scholar
• Burstyn I, Kromhout H, Kauppinen T, Heikkila P, Boffetta P. (2000). Statistical modelling of the determinants of historical exposure to bitumen and polycyclic aromatic hydrocarbons among paving workers. Ann Occup Hyg 44:43–56.
   PubMed Web of Science ®Google Scholar
• Carnegie Commission on Science. (1993). Risk and the Environment, Improving Regulatory Decision Making. New York: The Carnegie Corporation.
   Google Scholar
• Carrieri M, Bonfiglio E, Scapellato ML, Macca I, Tranfo G, Faranda P, Paci E, Bartolucci GB. (2006). Comparison of exposure assessment methods in occupational exposure to benzene in gasoline filling-station attendants. Toxicol Lett 162:146–152.
   PubMed Web of Science ®Google Scholar
• Castorina R, Bradman A, McKone TE, Barr DB, Harnly ME, Eskenazi B. (2003). Cumulative organophosphate pesticide exposure and risk assessment among pregnant women living in an agricultural community: A case study from the CHAMACOS cohort. Environ Health Perspect 111:1640–1648.
   PubMed Web of Science ®Google Scholar
• Centers for Disease Control. (1988). Serum 2,3,7,8-tetrachlorodibenzo-p-dioxin levels in US Army Vietnam-era veterans. The Centers for Disease Control Veterans Health Studies. JAMA 260:1249–1254.
   PubMedGoogle Scholar
• Chang HY, Tsai CY, Lin YQ, Shih TS, Lin YC. (2004). Urinary biomarkers of occupational N,N-dimethylformamide (DMF) exposure attributed to the dermal exposure. J Expo Anal Environ Epidemiol 14:214–221.
   PubMedGoogle Scholar
• Checkoway H. (1991). Data pooling in occupational studies. J Occup Med 33:1257–1260.
   PubMedGoogle Scholar
• Checkoway H. (2004). Case-crossover designs in occupational health. Occup Environ Med 61:953–954.
   PubMedGoogle Scholar
• Checkoway H, Rice CH. (1992). Time-weighted averages, peaks, and other indices of exposure in occupation epidemiology. Am J Ind Med 21:25–33.
   PubMed Web of Science ®Google Scholar
• Chen CC, Wu KY, Chang MJW. (2004). A statistical assessment on the stochastic relationship between biomarker concentrations and environmental exposures. Stoch Environ Res Risk Assess 18:377–385.
   Web of Science ®Google Scholar
• Cherrie JW. (1999). The effect of room size and general ventilation on the relationship between near and far-field concentrations. Appl Occup Environ Hyg 14:539–546.
   PubMedGoogle Scholar
• Cherrie JW, Schneider T. (1999). Validation of a new method for structured subjective assessment of past concentrations. Ann Occup Hyg 43:235–245.
   Web of Science ®Google Scholar
• Cherrie JW, Schneider T, Spankie S, Quinn M. (1996). A new method for structured, subjective assessments of past concentrations. Occup Hyg 3:75–83.
   Google Scholar
• Cherrie JW, Semple S, Christopher Y, Saleem A, Hughson GW, Philips A. (2006). How important is inadvertent ingestion of hazardous substances at work? Ann Occup Hyg 50:693–704.
   PubMed Web of Science ®Google Scholar
• Chu H, Wang Z, Cole SR, Greenland S. (2006). Sensitivity analysis of misclassification: A graphical and a Bayesian approach. Ann Epidemiol 16:834–841.
   PubMedGoogle Scholar
• Clavel J, Glass DC, Cordier S, Hemon D. (1993). Standardization in the retrospective evaluation by experts of occupational exposure to organic solvents in a population-based case-control study. Int J Epidemiol 22(Suppl 2):S121–S126.
   Google Scholar
• Clayton CA, Pellizzari ED, Whitmore RW, Quackenboss JJ, Adgate J, Sefton K. (2003). Distributions, associations, and partial aggregate exposure of pesticides and polynuclear aromatic hydrocarbons in the Minnesota Children’s Pesticide Exposure Study (MNCPES). J Expo Anal Environ Epidemiol 13:100–111.
   PubMedGoogle Scholar
• Coble J, Arbuckle T, Lee W, Alavanja M, Dosemeci M. (2005). The validation of a pesticide exposure algorithm using biological monitoring results. J Occup Environ Hyg 2:194–201.
   PubMed Web of Science ®Google Scholar
• Coggon D. (1983). Application of a job exposure matrix to occupational information obtained from death certificates. In: Acheson ED, ed. Job-Exposure Matrices. Southampton, UK: Hobbs, The Printers of Southampton.
   Google Scholar
• Coggon D, Pannett B, Acheson ED. (1984a). Use of job-exposure matrix in an occupational analysis of lung and bladder cancers on the basis of death certificates. J Natl Cancer Inst 72:61–65.
   PubMedGoogle Scholar
• Coggon D, Pannett B, Acheson ED. (1984b). Screening for new occupational hazards of cancer in young persons. Ann Occup Hyg 28:145–150.
   PubMedGoogle Scholar
• Cohen AC. (1961). Tables for maximum likelihood estimates: Singly truncated and singly censored samples. Technometry 3:535–541.
   Web of Science ®Google Scholar
• Cohen Hubal EA, Sheldon LS, Burke JM, McCurdy TR, Berry MR, Rigas ML, Zartarian VG, Freeman NC. (2000). Children’s exposure assessment: A review of factors influencing Children’s exposure, and the data available to characterize and assess that exposure. Environ Health Perspect 108:475–486.
   PubMed Web of Science ®Google Scholar
• Cooper JA, Ferson S, Ginzberg L. (1996). Hybrid processing of stochastic and subjective uncertainty data. Risk Anal 16:785–792.
   Web of Science ®Google Scholar
• Copeland KT, Checkoway H, McMichael AJ, Holbrook RH. (1977). Bias due to misclassification in the estimation of relative risk. Am J Epidemiol 105:488–495.
   PubMed Web of Science ®Google Scholar
• Copeland TL, Paustenbach DJ, Harris MA, Otani J. (1993). Comparing the results of a Monte Carlo analysis with EPA’s reasonable maximum exposed individual (RMEI): A case study of a former wood treatment site. Regul Toxicol Pharmacol 18:275–312.
   PubMed Web of Science ®Google Scholar
• Copeland TL, Holbrow AM, Otani JM, Connor KT, Paustenbach DJ. (1994). Use of probabilistic methods to understand the conservatism in California’s approach to assessing health risks posed by air contaminants. Air Waste 44:1399–1413.
   PubMedGoogle Scholar
• Corn M, Esmen NA. (1979). Workplace exposure zones for classification of employee exposures to physical and chemical agents. Am Ind Hyg Assoc J 40:47–57.
   PubMed Web of Science ®Google Scholar
• Couch J, Fleming D, Herman A. (2005). A retrospective chemical exposure assessment of benzene and carbon tetrachloride for a United States naval shipyard. In American Industrial Hygiene Conference and Exposition; Anaheim, CA.
   Google Scholar
• Coughlin SS, Chiazze L. Jr. (1990). Job-exposure matrices in epidemiologic research and medical surveillance. Occup Med 5:633–646.
   PubMedGoogle Scholar
• Cox LA Jr. (1996). More accurate dose-response estimation using Monte Carlo uncertainty analysis: The data cube approach. Hum Ecol Risk Assess 2:150–175.
   Web of Science ®Google Scholar
• Congressional Commission on Risk Assessment and Risk Management (CRAM). (1997a). Framework for Environmental Health Risk Management, Final Report, Vol. I. Presidential/Congressional Commission on Risk Assessment and Risk Management (CRAM). Washington, DC: US Government Printing Office.
   Google Scholar
• Congressional Commission on Risk Assessment and Risk Management (CRAM). (1997b). Risk Assessment and Risk Management in Regulatory Decision-Making, Final Report, Vol 2. Presidential/Congressional Commission on Risk Assessment and Risk Management (CRAM). Washington, DC: US Government Printing Office.
   Google Scholar
• Cronin WJth, Oswald EJ, Shelley ML, Fisher JW, Flemming CD. (1995). A trichloroethylene risk assessment using a Monte Carlo analysis of parameter uncertainty in conjunction with physiologically-based pharmacokinetic modeling. Risk Anal 15:555–565.
   PubMed Web of Science ®Google Scholar
• Crouch EA. (1996a). Uncertainty distributions for cancer potency factors: Laboratory animal carcinogenicity and interspecies extrapolation. Hum Ecol Risk Assess 2:103–129.
   Web of Science ®Google Scholar
• Crouch EA. (1996b). Uncertainty distributions for cancer potency factors: Combining epidemiological studies with laboratory bioassays—The example of acrylonitrile. Hum Ecol Risk Assess 2:130–149.
   Web of Science ®Google Scholar
• Crump KS. (1998). On summarizing group exposures in risk assessment: Is an arithmetic mean or a geometric mean more appropriate? Risk Anal 18:293–297.
   PubMed Web of Science ®Google Scholar
• Crump KS, Allen BC. (1984). Quantitative Estimates of Risk of Leukemia from Occupational Exposure to Benzene. Report prepared for the Occupational Safety and Health Administration (OSHA). Ruston, LA: Science Research Systems, Inc.
   Google Scholar
• Cullen AC, Frey HC. (1999). Probabilistic Techniques in Exposure Assessment. New York: Plenum Press.
   Google Scholar
• Dahmann D, Bauer HD, Stoyke G. (2008). Retrospective exposure assessment for respirable and inhalable dust, crystalline silica and arsenic in the former German uranium mines of SAG/SDAG Wismut. Int Arch Occup Environ Health 81:949–958.
   PubMed Web of Science ®Google Scholar
• Dahmann D, Morfeld P, Monz C, Noll B, Gast F. (2009). Exposure assessment for nitrogen oxides and carbon monoxide in German hard coal mining. Int Arch Occup Environ Health Apr 8: DOI 10.1007/s00420-009-0418-5.
   Google Scholar
• De Flora S. (2000). Threshold mechanisms and site specificity in chromium(VI) carcinogenesis. Carcinogenesis 21:533–541.
   PubMed Web of Science ®Google Scholar
• Deadman JE, Church G, Bradley C, Armstrong BG, Theriault G. (1997). Task-based estimation of past exposures to 60-hertz magnetic and electric fields at an electrical utility. Scand J Work Environ Health 23:440–449.
   PubMed Web of Science ®Google Scholar
• Dement JM, Harris RL Jr, Symons MJ, Shy CM. (1983). Exposures and mortality among chrysotile asbestos workers. Part I: Exposure estimates. Am J Ind Med 4:399–419.
   PubMed Web of Science ®Google Scholar
• Dement JM, Loomis D, Richardson D, Wolf S, Myers D. (2009). Estimates of historical exposures by phase contrast and transmission electron microscopy in North Carolina USA asbestos textile plants. Occup Environ Med 66:574–583.
   PubMed Web of Science ®Google Scholar
• Dosemeci M, Stewart A, Blair A. (1990). Three proposals for retrospective, semiquantitative exposure assessments and their comparison with other assessment methods. Appl Occup Environ Hyg 5:52–59.
   Google Scholar
• Dosemeci M, Chen JQ, Hearl F, Chen RG, McCawley M, Wu Z, McLaughlin JK, Peng KL, Chen AL, Rexing SH, et al. (1993). Estimating historical exposure to silica among mine and pottery workers in the People’s Republic of China. Am J Ind Med 24:55–66.
   PubMed Web of Science ®Google Scholar
• Dosemeci M, Rothman N, Yin SN, Li GL, Linet M, Wacholder S, Chow WH, Hayes RB. (1997). Validation of benzene exposure assessment. Ann N Y Acad Sci 837:114–121.
   PubMedGoogle Scholar
• Dreessen WC, Dallavalle JM, Edwards TI, Miller JW, Sayers RR. (1938). A Study of Asbestos in the Asbestos Textile Industry. United States Government Printing Office, ed. Washington, DC: US Treasury Department.
   Google Scholar
• Drummond I, Murray N, Armstrong T, Schnatter AR, Lewis RJ. (2006). Exposure assessment methods for a study of mortality and cancer morbidity in relation to specific petroleum industry exposures. J Occup Environ Hyg 3:513–520.
   PubMed Web of Science ®Google Scholar
• Du CL, Chan CC, Wang JD. (1996). Comparison of personal and area sampling strategies in assessing workers’ exposure to vinyl chloride monomer. Bull Environ Contam Toxicol 56:534–542.
   PubMedGoogle Scholar
• Duan N, Mage DT. (1997). Combination of direct and indirect approaches for exposure assessment. J Expo Anal Environ Epidemiol 7:439–470.
   PubMedGoogle Scholar
• Egeghy PP, Quackenboss JJ, Catlin S, Ryan PB. (2005). Determinants of temporal variability in NHEXAS-Maryland environmental concentrations, exposures, and biomarkers. J Expo Anal Environ Epidemiol 15:388–397.
   PubMedGoogle Scholar
• Eickmann U, Liesche W, Wegscheider W. (2007). Harmonization and further development of models to calculate airborne contaminant concentrations at the workplace. Gefahrstoffe Reinhalt Luft 67:127–132.
   Web of Science ®Google Scholar
• Eisen EA, Smith TJ, Wegman DH, Louis TA, Froines J. (1984). Estimation of long term dust exposures in the Vermont granite sheds. Am Ind Hyg Assoc J 45:89–94.
   PubMed Web of Science ®Google Scholar
• Eisenbud M, Wanta RC, et al. (1949). Non-occupational berylliosis. J Ind Hyg Toxicol 31:282–294.
   PubMedGoogle Scholar
• Esmen N. (1979). Retrospective industrial hygiene surveys. Am Ind Hyg Assoc J 40:58–65.
   PubMed Web of Science ®Google Scholar
• Esmen NA. (1991). Analysis of strategies for reconstructing exposures. Appl Occup Environ Hyg 6:488–494.
   Google Scholar
• Esmen NA, Corn M. (1998). Airborne fiber concentrations during splitting open and boxing bags of asbestos. Toxicol Ind Health 14:843–856.
   PubMed Web of Science ®Google Scholar
• Esmen NA, Hall TA. (2000). Theoretical investigation of the interrelationships between stationary and personal sampling in exposure estimation. Appl Occup Environ Hyg 15:114–119.
   PubMedGoogle Scholar
• Esmen NA, Hall TA, Phillips ML, Jones EP, Basara H, Marsh GM, Buchanich JM. (2007a). Chemical process-based reconstruction of exposures for an epidemiological study. Part II. Estimated exposures to chloroprene and vinyl chloride. Chem Biol Interact 166:264–276.
   PubMedGoogle Scholar
• Esmen NA, Hall TA, Phillips ML, Marsh GM. (2007b). Chemical process based reconstruction of exposures for an epidemiological study. I. Theoretical and methodological issues. Chem Biol Interact 166:254–263.
   PubMedGoogle Scholar
• Esmen NA, Kennedy KJ, Hall TA, Phillips ML, Marsh GM. (2007c). Classification of worker exposures. Chem Biol Interact 166:245–253.
   PubMedGoogle Scholar
• Evans JS, Graham JD, Gray GM, Sielken RL Jr. (1994a). A distributional approach to characterizing low-dose cancer risk. Risk Anal 14:25–34.
   PubMed Web of Science ®Google Scholar
• Evans JS, Gray GM, Sielken RL Jr, Smith AE, Valdez-Flores C, Graham JD. (1994b). Use of probabilistic expert judgment in uncertainty analysis of carcinogenic potency. Regul Toxicol Pharmacol 20(1 Pt 1):15–36.
   PubMedGoogle Scholar
• Fallentin B, Kamstrup O. (1993). Simulation of past exposure in slag wool production. Ann Occup Hyg 37:419–433.
   PubMed Web of Science ®Google Scholar
• Fehrenbacher MC, Hummel AA. (1996). Evaluation of the mass balance model used by the Environmental Protection Agency for estimating inhalation exposure to new chemical substances. Am Ind Hyg Assoc J 57:526–536.
   PubMed Web of Science ®Google Scholar
• Fenske RA, Kissel JC, Lu C, Kalman DA, Simcox NJ, Allen EH, Keifer MC. (2000). Biologically based pesticide dose estimates for children in an agricultural community. Environ Health Perspect 108:515–520.
   PubMed Web of Science ®Google Scholar
• Finley BL, Paustenbach DJ. (1994). The benefits of probabilistic exposure assessment: Three case studies involving contaminated air, water, and soil. Risk Anal 14:53–73.
   PubMed Web of Science ®Google Scholar
• Finley BL, Proctor DM, Scott PK, Harrington N, Paustenbach DJ, Price P. (1994). Recommended distributions for exposure factors frequently used in health risk assessment. Risk Anal 14:533–553.
   PubMed Web of Science ®Google Scholar
• Flegal KM, Brownie C, Haas JD. (1986). The effects of exposure misclassification on estimates of relative risk. Am J Epidemiol 123:736–751.
   PubMed Web of Science ®Google Scholar
• Fletcher AC, Engholm G, Englund A. (1993). The risk of lung cancer from asbestos among Swedish construction workers: Self-reported exposure and a job exposure matrix compared. Int J Epidemiol 22(Suppl 2):S29–S35.
   Google Scholar
• Freeman NC, Jimenez M, Reed KJ, Gurunathan S, Edwards RD, Roy A, Adgate JL, Pellizzari ED, Quackenboss J, Sexton K, Lioy PJ. (2001). Quantitative analysis of children’s microactivity patterns: The Minnesota Children’s Pesticide Exposure Study. J Expo Anal Environ Epidemiol 11:501–509.
   PubMedGoogle Scholar
• Frey HC, Patil SR. (2002). Identification and review of sensitivity analysis methods. Risk Anal 22:553–578.
   PubMed Web of Science ®Google Scholar
• Friesen MC, Demers PA, Spinelli JJ, Le ND. (2003). Validation of a semi-quantitative job exposure matrix at a Soderberg aluminum smelter. Ann Occup Hyg 47:477–484.
   PubMed Web of Science ®Google Scholar
• Friesen MC, Davies HW, Teschke K, Marion S, Demers PA. (2005). Predicting historical dust and wood dust exposure in sawmills: Model development and validation. J Occup Environ Hyg 2:650–658.
   PubMed Web of Science ®Google Scholar
• Friesen MC, Macnab YC, Marion SA, Demers PA, Davies HW, Teschke K. (2006). Mixed models and empirical Bayes estimation for retrospective exposure assessment of dust exposures in Canadian sawmills. Ann Occup Hyg 50:281–288.
   PubMedGoogle Scholar
• Friesen MC, Davies HW, Teschke K, Ostry AS, Hertzman C, Demers PA. (2007). Impact of the specificity of the exposure metric on exposure-response relationships. Epidemiology 18:88–94.
   PubMed Web of Science ®Google Scholar
• Fritschi L, Siemiatycki J, Richardson L. (1996). Self-assessed versus expert-assessed occupational exposures. Am J Epidemiol 144:521–527.
   PubMed Web of Science ®Google Scholar
• Fritschi L, Nadon L, Benke G, Lakhani R, Latreille B, Parent ME, Siemiatycki J. (2003). Validation of expert assessment of occupational exposures. Am J Ind Med 43:519–522.
   PubMedGoogle Scholar
• Gaffney S, Moody E, McKinley M, Knutsen J, Madl A, Paustenbach D. (2008). Worker exposure to methanol vapors during cleaning of semiconductor wafers in a manufacturing setting. J Occup Environ Hyg 5:313–324.
   PubMed Web of Science ®Google Scholar
• Gaffney SH, Panko JM, Unice KM, Burns AM, Kreider ML, Gelatt RH, Booher  LE, Paustenbach DJ. (2009). Occupational exposure to benzene at the ExxonMobil Refinery in Baytown, TX (1978–2006). J Expo Sci Environ Epidemiol 1–17.
   PubMedGoogle Scholar
• Gargas ML, Finley BL, Paustenbach DJ, Long TF. (1999). Environmental health risk assessment: Theory and practice. In: Ballantyne B, Marrs T, Syverson T, eds. General and Applied Toxicology. London: Macmillan.
   Google Scholar
• Gaylor DW, Chen JJ. (1996). A simple upper limit for the sum of the risks of the components in a mixture. Risk Anal 16:395–398.
   PubMed Web of Science ®Google Scholar
• Gerin M. (1990). Recent approaches to retrospective exposure assessment in occupational cancer epidemiology. Recent Results Cancer Res 120:39–49.
   PubMedGoogle Scholar
• Gerin M, Siemiatycki J, Kemper H, Begin D. (1985). Obtaining occupational exposure histories in epidemiologic case-control studies. J Occup Med 27:420–426.
   PubMedGoogle Scholar
• Gerin M, Fletcher AC, Gray C, Winkelmann R, Boffetta P, Simonato L. (1993). Development and use of a welding process exposure matrix in a historical prospective study of lung cancer risk in European welders. Int J Epidemiol 22(Suppl 2):S22–S28.
   Google Scholar
• Gitelman M, Dement J. (1996). Simulated 1,1,1-trichloroethane exposure during brake repair. Appl Occup Environ Hyg 11:1177–1179.
   Google Scholar
• Glass DC, Spurgeon A, Calvert IA, Clark JL, Harrington JM. (1994). Retrospective assessment of solvent exposure in paint manufacturing. Occup Environ Med 51:617–625.
   PubMed Web of Science ®Google Scholar
• Glass DC, Adams GG, Manuell RW, Bisby JA. (2000). Retrospective exposure assessment for benzene in the Australian petroleum industry. Ann Occup Hyg 44:301–320.
   PubMed Web of Science ®Google Scholar
• Goldberg M, Kromhout H, Guenel P, Fletcher AC, Gerin M, Glass DC, Heederik D, Kauppinen T, Ponti A. (1993). Job exposure matrices in industry. Int J Epidemiol 22(Suppl 2):S10–S15.
   Google Scholar
• Gosselin NH, Brunet RC, Carrier G, Bouchard M, Feeley M. (2006). Reconstruction of methylmercury intakes in indigenous populations from biomarker data. J Expo Sci Environ Epidemiol 16:19–29.
   PubMedGoogle Scholar
• Grandjean P, Budtz-Jorgensen E, Keiding N, Weihe P. (2004). Underestimation of risk due to exposure misclassification. Int J Occup Med Environ Health 17:131–136.
   PubMedGoogle Scholar
• Greenberg RA, Tamburro CH. (1981). Exposure indices for epidemiological surveillance of carcinogenic agents in an industrial chemical environment. J Occup Med 23:353–358.
   PubMedGoogle Scholar
• Greenberg RA, Tamburro CH. (1983). Rank ordered exposure for industrial surveillance. In: Acheson ED, ed. Job-Exposure Matricies. Southampton, UK: Hobbs, The Printers of Southampton.
   Google Scholar
• Greenland S. (2001). Sensitivity analysis, Monte Carlo risk analysis, and Bayesian uncertainty assessment. Risk Anal 21:579–583.
   PubMed Web of Science ®Google Scholar
• Groah WJ. (2006). Predicting indoor-air formaldehyde concentrations from emissions of urea-formaldehyde-bonded wood products using the Versar model. Forest Prod J 55:97–100.
   Google Scholar
• Gustafson P, Greenland S. (2006). Curious phenomena in Bayesian adjustment for exposure misclassification. Stat Med 25:87–103.
   PubMedGoogle Scholar
• Haas CN. (1997). Importance of the distributional form in characterizing inputs to Monte Carlo risk assessments. Risk Anal 17:107–113.
   Google Scholar
• Hald A. (1952). Statistical Theory with Engineering Applications. New York: John Wiley and Sons.
   Google Scholar
• Hall TA, Esmen NA, Jones EP, Basara H, Phillips ML, Marsh GM, Youk AO, Buchanich JM, Leonard RC. (2007). Chemical process based reconstruction of exposures for an epidemiological study. III. Analysis of industrial hygiene samples. Chem Biol Interact 166:277–284.
   PubMed Web of Science ®Google Scholar
• Hallock MF, Smith TJ, Woskie SR, Hammond SK. (1994). Estimation of historical exposures to machining fluids in the automotive industry. Am J Ind Med 26:621–634.
   PubMed Web of Science ®Google Scholar
• Hamed MM, Bedient PB. (1997). On the effect of probability distributions of input variables in public health risk assessment. Risk Anal 17:97–105.
   PubMedGoogle Scholar
• Harber P, Muranko H, Shvartsblat S, Solis S, Torossian A, Oren T. (2003). A triangulation approach to historical exposure assessment for the carbon black industry. J Occup Environ Med 45:131–143.
   PubMedGoogle Scholar
• Hattis DB, Burmaster DE. (1994). Assessment of variability and uncertainty distributions for practical risk analyses. Risk Anal 14:713–730.
   Web of Science ®Google Scholar
• Hawkins NC, Evans JS. (1989). Subjective estimation of toluene exposures: A calibration study of industrial hygienists. Appl Ind Hyg 4:61–68.
   Google Scholar
• Hays SM, Aylward LL. (2009). Biomonitoring Equivalents (BE) dossier for acrylamide (AA) (CAS No. 79-06-1). Regul Toxicol Pharmacol 51:S57–S67
   Google Scholar
• Hays SM, Aylward LL, LaKind JS, Bartels MJ, Barton HA, Boogaard PJ, Brunk C, DiZio S, Dourson M, Goldstein DA, Lipscomb J, Kilpatrick ME, Krewskim D, Krishnan K, Nordberg M, Okino M, Tan Y, Viau C, Yager JW. (2008). Guidelines for the derivation of biomonitoring equivalents: Report from the biomonitoring equivalents expert workshop. Regul Toxicol Pharmacol 51:S4–S15
   PubMed Web of Science ®Google Scholar
• Hays SM, Aylward LL, LaKind JS. (2009a). Introduction to the biomonitoring equivalents pilot project: Development of guidelines for the derivation and communication of biomonitoring equivalents. Regul Toxicol Pharmacol 51:S1–S2
   Google Scholar
• Hays SM, Nordberg M, Yager JW, Aylward LL. (2009b). Biomonitoring Equivalents (BE) dossier for cadmium (Cd) (CAS No. 7440-43-9). Regul Toxicol Pharmacol 51:S49–S56
   Google Scholar
• Heederik D, Attfield M. (2000). Characterization of dust exposure for the study of chronic occupational lung disease: A comparison of different exposure assessment strategies. Am J Epidemiol 151:982–990.
   PubMed Web of Science ®Google Scholar
• Hein MJ, Waters MA, van Wijngaarden E, Deddens JA, Stewart PA. (2008). Issues when modeling benzene, toluene, and xylene exposures using a literature database. J Occup Environ Hyg 5:36–47.
   PubMed Web of Science ®Google Scholar
• Helsel DR. (2005). Nondetects and Data Analysis: Statistics for Censored Environmental Data. New York: Wiley-Interscience.
   Google Scholar
• Helton JC, Davis FJ. (2002). Illustration of sampling-based methods for uncertainty and sensitivity analysis. Risk Anal 22:591–622.
   PubMed Web of Science ®Google Scholar
• Henn SA, Utterback DF, Waters KM, Markey AM, Tankersley WG. (2007). Task- and time-dependent weighting factors in a retrospective exposure assessment of chemical laboratory workers. J Occup Environ Hyg 4:71–79.
   PubMed Web of Science ®Google Scholar
• Herrick RF, Stewart JH, Blicharz D, Beall C, Bender T, Cheng H, Matthews R, Sathiakumar N, Delzell E. (2005). Exposure assessment for retrospective follow-up studies of semiconductor- and storage device-manufacturing workers. J Occup Environ Med 47:983–995.
   PubMed Web of Science ®Google Scholar
• Hewett P, Logan P, Mulhausen J, Ramachandran G, Banerjee S. (2006). Rating exposure control using Bayesian decision analysis. J Occup Environ Hyg 3:568–581.
   PubMed Web of Science ®Google Scholar
• Hill RA, Hoover SM. (1997). Importance of the dose-response model form in probabilistic risk assessment: A case study of health effects from methylmercury in fish. Hum Ecol Risk Assess 3:465–481.
   Web of Science ®Google Scholar
• Hinds MW, Kolonel LN, Lee J. (1985). Application of a job-exposure matrix to a case-control study of lung cancer. J Natl Cancer Inst 75:193–197.
   PubMed Web of Science ®Google Scholar
• Hoar SK, Morrison AS, Cole P, Silverman DT. (1980). An occupation and exposure linkage system for the study of occupational carcinogenesis. J Occup Med 22:722–726.
   PubMedGoogle Scholar
• Hoffman FO, Hammonds JS. (1994). Propagation of uncertainty in risk assessments: The need to distinguish between uncertainty due to lack of knowledge and uncertainty due to variability. Risk Anal 14:707–712.
   PubMed Web of Science ®Google Scholar
• Hornung RW, Reed LD. (1990). Estimation of average concentration in the presence of nondetectable values. Appl Occup Environ Hyg 5:46–51.
   Google Scholar
• Hornung RW, Greife AL, Stayner LT, Steenland NK, Herrick RF, Elliott LJ, Ringenburg VL, Morawetz J. (1994). Statistical model for prediction of retrospective exposure to ethylene oxide in an occupational mortality study. Am J Ind Med 25:825–836.
   PubMed Web of Science ®Google Scholar
• Hornung RW, Herrick RF, Stewart PA, Utterback DF, Feigley CE, Wall DK, Douthit DE, Hayes RB. (1996). An experimental design approach to retrospective exposure assessment. Am Ind Hyg Assoc J 57:251–256.
   PubMed Web of Science ®Google Scholar
• Hwang JS, Chen JJ. (1999). An evaluation of risk estimation procedures for mixtures of carcinogens. Risk Anal 19:1071–1076.
   PubMed Web of Science ®Google Scholar
• Hyland RA, Yates DH, Benke G, Sim M, Johnson AR. (2010). Occupational exposure to asbestos in New South Wales, Australia (1970–1989): Development of an asbestos task exposure matrix. Occup Environ Med 67:201–206.
   PubMedGoogle Scholar
• Ignacio JS, Bullock WH. (2006). A Strategy for Assessing and Managing Occupational Exposures. 3rd ed. Fairfax, VA: American Industrial Hygiene Association Press.
   Google Scholar
• Interdepartmental Group on Health Risks from Chemicals (IGHRC). (2009). Chemical Mixtures: A Framework for Assessing Risk to Human Health (CR14). Cranfield, UK: Institute of Environment and Health, Cranfield University.
   Google Scholar
• International Live Science Institute (ILSI). (1998). Aggregate Exposure Assessment. Washington, DC: ILSI.
   Google Scholar
• Ivannikov AI, Gaillard-Lecanu E, Trompier F, Stepanenko VF, Skvortsov VG, Borysheva NB, Tikunov DD, Petin DV. (2004). Dose reconstruction by EPR spectroscopy of tooth enamel: Application to the population of Zaborie village exposed to high radioactive contamination after the Chernobyl accident. Health Phys 86:121–134.
   PubMed Web of Science ®Google Scholar
• Jakubowski M, Trzcinka-Ochocka M. (2005). Biological monitoring of exposure: Trends and key developments. J Occup Health 47:22–48.
   PubMed Web of Science ®Google Scholar
• Janssen NA, Hoek G, Brunekreef B, Harssema H, Mensink I, Zuidhof A. (1998). Personal sampling of particles in adults: Relation among personal, indoor, and outdoor air concentrations. Am J Epidemiol 147:537–547.
   PubMed Web of Science ®Google Scholar
• Jensen OM, Lynge E. (1983). Job Exposure linkage systems for cancer research in Scandinavia. In: Acheson ED, ed. Job-Exposure Matricies. Southampton, UK: Hobbs, The Publishers of Southampton.
   Google Scholar
• Johansen K, Tinnerberg H, Lynge E. (2005). Use of history science methods in exposure assessment for occupational health studies. Occup Environ Med 62:434–441.
   PubMedGoogle Scholar
• Johnson DL, Esmen NA. (2004). Method-induced misclassification for a respirable dust sampled using ISO/ACGIH/CEN criteria. Ann Occup Hyg 48:13–20.
   PubMedGoogle Scholar
• Jonsson F, Johanson G. (2002). Physiologically based modeling of the inhalation kinetics of styrene in humans using a Bayesian population approach. Toxicol Appl Pharmacol 179:35–49.
   PubMed Web of Science ®Google Scholar
• Kauppinen T, Toikkanen J, Pukkala E. (1998). From cross-tabulations to multipurpose exposure information systems: A new job-exposure matrix. Am J Ind Med 33:409–417.
   PubMed Web of Science ®Google Scholar
• Kauppinen TP, Pannett B, Marlow DA, Kogevinas M. (1994). Retrospective assessment of exposure through modeling in a study on cancer risks among workers exposed to phenoxy herbicides, chlorophenols and dioxins. Scand J Work Environ Health 20:262–271.
   PubMed Web of Science ®Google Scholar
• Kawasaki T, Kono K, Dote T, Usuda K, Shimizu H, Dote E. (2004). Markers of cadmium exposure in workers in a cadmium pigment factory after changes in the exposure conditions. Toxicol Ind Health 20:51–56.
   PubMedGoogle Scholar
• Keil C. (2000). Mathematical Models for Estimating Occupational Exposure to Chemicals. Fairfax, VA: American Industrial Hygiene Association Press.
   Google Scholar
• Keil C, Murphy R. (2006). An application of exposure modeling in exposure assessments for a university chemistry teaching laboratory. J Occup Environ Hyg 3:99–106.
   PubMed Web of Science ®Google Scholar
• Keil CB. (1998). The development and evaluation of an emission factor for a toluene parts-washing process. Am Ind Hyg Assoc J 59:14–19.
   Web of Science ®Google Scholar
• Keil CB, Nicas M. (2003). Predicting room vapor concentrations due to spills of organic solvents. Am Ind Hyg Assoc J 64:445–454.
   Google Scholar
• Keil CB, Akbar-Khanzadeh F, Konecny KA. (2001). Characterizing formaldehyde emission rates in a gross anatomy laboratory. Appl Occup Environ Hyg 16:967–972.
   PubMedGoogle Scholar
• Keil CB, Simmons CE, Anthony TR. (2009). Mathematical Models for Estimating Occupational Exposure to Chemicals. 2nd ed. Fairfax, VA: American Industrial Hygiene Association Press.
   Google Scholar
• Keyes DL, Chesson J, Ewing WM, Faas JC, Hatfield RL, Hays SM, Longo WE, Millette JR. (1991). Exposure to airborne asbestos associated with simulated cable installation above a suspended ceiling. Am Ind Hyg Assoc J 52:479–484.
   PubMed Web of Science ®Google Scholar
• Kleinerman RA, Romanyukha AA, Schauer DA, Tucker JD. (2006). Retrospective assessment of radiation exposure using biological dosimetry: Chromosome painting, electron paramagnetic resonance and the glycophorin a mutation assay. Radiat Res 166(1 Pt 2):287–302.
   PubMedGoogle Scholar
• Kodell RL, Chen JJ. (1994). Reducing conservatism in risk estimation for mixtures of carcinogens. Risk Anal 14:327–332.
   PubMed Web of Science ®Google Scholar
• Koo HJ, Lee BM. (2005). Human monitoring of phthalates and risk assessment. J Toxicol Environ Health A 68:1379–1392.
   PubMed Web of Science ®Google Scholar
• Kromhout H, Symanski E, Rappaport SM. (1993). A comprehensive evaluation of within- and between-worker components of occupational exposure to chemical agents. Ann Occup Hyg 37:253–270.
   PubMed Web of Science ®Google Scholar
• Kudla I. (1997). Exposure to benzene-contaminated toluene and bone marrow disorders—A retrospective exposure assessment. Appl Occup Environ Hyg 12:11–14.
   Google Scholar
• Laden F, Hart JE, Eschenroeder A, Smith TJ, Garshick E. (2006). Historical estimation of diesel exhaust exposure in a cohort study of US railroad workers and lung cancer. Cancer Cause Control 17:911–919.
   PubMed Web of Science ®Google Scholar
• Lange JH, Lange PR, Reinhard TK, Thomulka KW. (1996). A study of personal and area airborne asbestos concentrations during asbestos abatement: A statistical evaluation of fibre concentration data. Ann Occup Hyg 40:449–466.
   PubMedGoogle Scholar
• Lange JH, Kuhn BD, Thomulka KW, Sites SLM. (2000). A study of area and personal airborne asbestos samples during abatement in a crawl space. Indoor Built Environ 9:192–200.
   Web of Science ®Google Scholar
• Lavoue J, Begin D, Beaudry C, Gerin M. (2007). Monte Carlo simulation to reconstruct formaldehyde exposure levels from summary parameters reported in the literature. Ann Occup Hyg 51:161–172.
   PubMed Web of Science ®Google Scholar
• Lee E, Feigley CE, Khan J, Hussey JR. (2007). The effect of worker’s location, orientation, and activity on exposure. J Occup Environ Hyg 4:572–582.
   PubMed Web of Science ®Google Scholar
• Leung HW, Paustenbach DJ. (1988). Application of pharmacokinetics to derive biological exposure indexes from threshold limit values. Am Ind Hyg Assoc J 49:445–450.
   PubMed Web of Science ®Google Scholar
• Lewis SJ, Bell GM, Cordingley N, Pearlman ED, Rushton L. (1997). Retrospective estimation of exposure to benzene in a leukaemia case-control study of petroleum marketing and distribution workers in the United Kingdom. Occup Environ Med 54:167–175.
   PubMed Web of Science ®Google Scholar
• Lilienfeld DE, Gallo MA. (1989). 2,4-D, 2,4,5-T, and 2,3,7,8-TCDD: An overview. Epidemiol Rev 11:28–58.
   PubMed Web of Science ®Google Scholar
• Lilienfeld DE, Stolley PD. (1994). Foundations of Epidemiology. 3rd ed. New York: Oxford University Press.
   Google Scholar
• London L, Myers JE. (1998). Use of a crop and job specific exposure matrix for retrospective assessment of long-term exposure in studies of chronic neurotoxic effects of agrichemicals. Occup Environ Med 55:194–201.
   PubMed Web of Science ®Google Scholar
• Macaluso M, Vineis et al. (1983). Experience in Italy. In: Acheson ED, ed. Job-Exposure Matricies. Southampton, UK: Hobbs, The Printers of Southampton.
   Google Scholar
• Macaluso M, Larson R, Delzell E, Sathiakumar N, Hovinga M, Julian J, Muir D, Cole P. (1996). Leukemia and cumulative exposure to butadiene, styrene and benzene among workers in the synthetic rubber industry. Toxicology 113:190–202.
   PubMed Web of Science ®Google Scholar
• Macaluso M, Larson R, Lynch J, Lipton S, Delzell E. (2004). Historical estimation of exposure to 1,3-butadiene, styrene, and dimethyldithiocarbamate among synthetic rubber workers. J Occup Environ Hyg 1:371–390.
   PubMed Web of Science ®Google Scholar
• Madl AK, Paustenbach DJ. (2002a). Airborne concentrations of benzene and mineral spirits (stoddard solvent) during cleaning of a locomotive generator and traction motor. J Toxicol Environ Health A 65:1965–1979.
   PubMed Web of Science ®Google Scholar
• Madl AK, Paustenbach DJ. (2002b). Airborne concentrations of benzene due to diesel locomotive exhaust in a roundhouse. J Toxicol Environ Health A 65:1945–1964.
   PubMed Web of Science ®Google Scholar
• Madl AK, Unice K, Brown JL, Kolanz ME, Kent MS. (2007). Exposure-response analysis for beryllium sensitization and chronic beryllium disease among workers in a beryllium metal machining plant. J Occup Environ Hyg 4:448–466.
   PubMed Web of Science ®Google Scholar
• Madl AK, Scott LL, Murbach DM, Fehling KA, Finley BL, Paustenbach DJ. (2008). Exposure to chrysotile asbestos associated with unpacking and repacking boxes of automobile brake pads and shoes. Ann Occup Hyg 52:463–479.
   PubMed Web of Science ®Google Scholar
• Madl AK, Gaffney SH, Balzer JL, Paustenbach DJ. (2009). Airborne asbestos concentrations associated with heavy equipment brake removal. Ann Occup Hyg 53:839–857.
   PubMed Web of Science ®Google Scholar
• Mage DT, Allen RH, Gondy G, Smith W, Barr DB, Needham LL. (2004). Estimating pesticide dose from urinary pesticide concentration data by creatinine correction in the Third National Health and Nutrition Examination Survey (NHANES-III). J Expo Anal Environ Epidemiol 14:457–465.
   PubMedGoogle Scholar
• Mangold C, Clark K, Madl A, Paustenbach D. (2006). An exposure study of bystanders and workers during the installation and removal of asbestos gaskets and packing. J Occup Environ Hyg 3:87–98.
   PubMed Web of Science ®Google Scholar
• Mannetje A, Fevotte J, Fletcher T, Brennan P, Legoza J, Szeremi M, Paldy A, Brzeznicki S, Gromiec J, Ruxanda-Artenie C, Stanescu-Dumitru R, Ivanov N, Shterengorz R, Hettychova L, Krizanova D, Cassidy A, van Tongeren M, Boffetta P. (2003). Assessing exposure misclassification by expert assessment in multicenter occupational studies. Epidemiology 14:585–592.
   PubMed Web of Science ®Google Scholar
• Maslia ML, Sautner JB, Aral MM, Gillig RE, Reyes JJ, Williams RC. (2001). Historical Reconstruction of the Water-Distribution System Serving the Dover Township Area, New Jersey: January 1962–December 1996. Atlanta, GA: US Agency for Toxic Substances and Disease Registry.
   Google Scholar
• Matthiessen RC. (1986). Estimating chemical exposure levels in the workplace: Well-characterized monitoring data are needed to assess worker exposure levels during the manufacture, processing, and use of industrial chemicals. Chem Eng Prog xx:30–34.
   Google Scholar
• McKinnery WN Jr, Moore RW. (1992). Evaluation of airborne asbestos fiber levels during removal and installation of valve gaskets and packing. Am Ind Hyg Assoc J 53:531–532.
   Web of Science ®Google Scholar
• McNamee C. (1996). Retrospective assessment of occupational exposure to hydrocarbons—Job-exposure matrices versus expert evaluation of questionnaires. Occup Hyg 3:137–143.
   Google Scholar
• Mehta AJ, Wang XR, Eisen EA, Dai HL, Astrakianakis G, Seixas N, Camp J, Checkoway H, Christiani DC. (2008). Work area measurements as predictors of personal exposure to endotoxin and cotton dust in the cotton textile industry. Ann Occup Hyg 52:45–54.
   PubMed Web of Science ®Google Scholar
• Meredith SK, Bugler J, Clark RL. (2000). Isocyanate exposure and occupational asthma: A case-referent study. Occup Environ Med 57:830–836.
   PubMed Web of Science ®Google Scholar
• Merewether ERA, Price CW. (1930). Report on Effects of Asbetos Dust on the Lungs and Dust Suppression in the Asbestos Industry, edited by His Majesty’s Stationary Office, London.
   Google Scholar
• Mertz CK, Slovic P, Purchase IF. (1998). Judgments of chemical risks: Comparisons among senior managers, toxicologists, and the public. Risk Anal 18:391–404.
   PubMed Web of Science ®Google Scholar
• Mokhtari A, Frey HC, Zheng J. (2006). Evaluation and recommendation of sensitivity analysis methods for application to Stochastic Human Exposure and Dose Simulation models. J Expo Sci Environ Epidemiol 16:491–506.
   PubMedGoogle Scholar
• Mongan TR, Ripple SR, Brorby GP, diTomasso DG. (1996a). Plutonium releases from the 1957 fire at Rocky Flats. Health Phys 71:510–521.
   PubMedGoogle Scholar
• Mongan TR, Ripple SR, Winges KD. (1996b). Plutonium release from the 903 pad at Rocky Flats. Health Phys 71:522–531.
   PubMedGoogle Scholar
• Monge P, Partanen T, Wesseling C, Bravo V, Ruepert C, Burstyn I. (2005). Assessment of pesticide exposure in the agricultural population of Costa Rica. Ann Occup Hyg 49:375–384.
   PubMedGoogle Scholar
• Morgan MD, Henrion M. (1990). Uncertainty: A Guide to Dealing With Uncertainty in Quantitative Risk and Policy Analysis. Cambridge, UK: Cambridge University Press.
   Google Scholar
• Moschandreas DJ, Karuchit S, Kim Y, Ari H, Lebowitz MD, O’ Rourke MK, Gordon S, Robertson G. (2001). On predicting multi-route and multimedia residential exposure to chlorpyrifos and diazinon. J Expo Anal Environ Epidemiol 11:56–65.
   PubMedGoogle Scholar
• Mowat F, Bono M, Lee RJ, Tamburello S, Paustenbach D. (2005). Occupational exposure to airborne asbestos from phenolic molding material (Bakelite) during sanding, drilling, and related activities. J Occup Environ Hyg 2:497–507.
   PubMed Web of Science ®Google Scholar
• Mowat F, Weidling R, Sheehan P. (2007). Simulation tests to assess occupational exposure to airborne asbestos from asphalt-based roofing products. Ann Occup Hyg 51:451–462.
   PubMedGoogle Scholar
• National Academy of Sciences. (1983). Risk Assessment in the Federal Government: Managing the Process. Commission on Life Sciences, Committee on the Institutional Mean for Assessment of Risks to Public Health. Washington, DC: National Academy Press.
   Google Scholar
• National Academy of Sciences. (1989). Improving Risk Communication. Washington, DC: National Academy Press.
   Google Scholar
• National Academy of Sciences. (1994). Science and Judgment in Risk Assessment. Washington, DC: National Academy Press.
   Google Scholar
• National Academy of Sciences. (2006). Review of the Worker and Public Health Activities Program Administered by the Department of Energy and the Department of Health and Human Services Committee to Review the Worker and Public Health Activities Program Administered by the Department of Energy and the Department of Health and Human Services. National Research Council. Washington, DC: National Academy Press.
   Google Scholar
• National Academy of Sciences. (1996). Understanding Risk: Informing Decisions in a Democratic Society. Washington, DC: National Academy Press.
   Google Scholar
• National Institute for Occupational Safety and Health (NIOSH). (2002). Interactive RadioEpidemiological Program Final Report. Cincinnati, OH: NIOSH-IREP.
   Google Scholar
• National Institute of Occupational Safety and Health. (2007). External Dose Reconstruction Implementation Guideline. Cincinnati, OH: Office of Compensation Analysis and Support (OCAS).
   Google Scholar
• Nelson D, Nelson R, Hart K, Asal N. (1995). Hydrocarbon exposure assessment methodology for an epidemiologic study of renal disease. Appl Occup Environ Hyg 10:299–310.
   Google Scholar
• Nestorov I. (2003). Whole body pharmacokinetic models. Clin Pharmacokinet 42:883–908.
   PubMed Web of Science ®Google Scholar
• Nestorov IA. (1999). Sensitivity analysis of pharmacokinetic and pharmacodynamic systems: I. A structural approach to sensitivity analysis of physiologically based pharmacokinetic models. J Pharmacokinet Biopharm 27:577–596.
   PubMedGoogle Scholar
• Nicas M. (2000). Two-zone model. In: Keil C, ed. Mathematical Models for Estimating Occupational Exposure to Chemicals. Fairfax, VA: American Industrial Hygiene Association Press.
   Google Scholar
• Nicas M. (2003a). Estimating methyl bromide exposure due to offgassing from fumigated commodities. Appl Occup Environ Hyg 18:200–210.
   PubMedGoogle Scholar
• Nicas M. (2003b). Using mathematical models to estimate exposure to workplace air contaminants. Chem Health Saf January/February:14–21.
   Google Scholar
• Nicas M, Plisko MJ, Spencer JW. (2006). Estimating benzene exposure at a solvent parts washer. J Occup Environ Hyg 3:284–291.
   PubMed Web of Science ®Google Scholar
• Nieuwenhuijsen MJ, ed. (2003). Exposure Assessment in Occupational and Environmental Epidemiology. New York: Oxford University Press.
   Google Scholar
• Nieuwenhuijsen MJ, Grey CN, Golding J. (2005). Exposure misclassification of household pesticides and risk perception and behaviour. Ann Occup Hyg 49:703–709.
   PubMed Web of Science ®Google Scholar
• Niven RM, Fishwick D, Pickering CA, Fletcher AM, Warburton CJ, Crank P. (1992). A study of the performance and comparability of the sampling response to cotton dust of work area and personal sampling techniques. Ann Occup Hyg 36:349–362.
   PubMed Web of Science ®Google Scholar
• Ohmichi K, Komiyama M, Matsuno Y, Takanashi Y, Miyamoto H, Kadota T, Maekawa M, Toyama Y, Tatsugi Y, Kohno T, Ohmichi M, Mori C. (2006). Formaldehyde exposure in a gross anatomy laboratory—Personal exposure level is higher than indoor concentration. Environ Sci Pollut Res Int 13:120–124.
   PubMed Web of Science ®Google Scholar
• Olsen GW, Logan PW, Hansen KJ, Simpson CA, Burris JM, Burlew MM, Vorarath PP, Venkateswarlu P, Schumpert JC, Mandel JH. (2003). An occupational exposure assessment of a perfluorooctanesulfonyl fluoride production site: Biomonitoring. Am Ind Hyg Assoc J 64:651–659.
   Google Scholar
• Orlowski E, Pohlabeln H, Berrino F, Ahrens W, Bolm-Audorff U, Grossgarten K, Iwatsubo Y, Jockel KH, Brochard P. (1993). Retrospective assessment of asbestos exposure—II. At the job level: Complementarity of job-specific questionnaire and job exposure matrices. Int J Epidemiol 22(Suppl 2):S96–S105.
   PubMedGoogle Scholar
• Ott MG, Townsend JC, Fishbeck WA, Langner RA. (1978). Mortality among individuals occupationally exposed to benzene. Arch Environ Health 33:3–10.
   PubMed Web of Science ®Google Scholar
• Owen CV, Acquavella JA, Lynch J, Bird MG. (1992). An industrial hygiene methodology developed in support of a retrospective morbidity case-control study. Am Ind Hyg Assoc J 53:540–547.
   PubMed Web of Science ®Google Scholar
• Pang Y, MacIntosh DL, Camann DE, Ryan PB. (2002). Analysis of aggregate exposure to chlorpyrifos in the NHEXAS-Maryland investigation. Environ Health Perspect 110:235–240.
   PubMed Web of Science ®Google Scholar
• Panko JM, Gaffney SH, Burns AM, Unice KM, Kreider ML, Booher LE, Gelatt RH, Marshall JR, Paustenbach DJ. (2009). Occupational exposure to benzene at the ExxonMobil refinery at Baton Rouge, Louisiana (1977–2005). J Occup Environ Hyg 6:517–529.
   PubMed Web of Science ®Google Scholar
• Pannett B, Coggon D, Acheson ED. (1985). A job-exposure matrix for use in population based studies in England and Wales. Br J Ind Med 42:777–783.
   PubMedGoogle Scholar
• Paull JM. (1984). The origin and basis of threshold limit values. Am J Ind Med 5:227–238.
   PubMed Web of Science ®Google Scholar
• Paustenbach D, Madl A. (2008). The practice of exposure assessment. In: Hayes AW, ed. Principles and Methods of Toxicology. 5th ed. Andover, MA: CRC Press.
   Google Scholar
• Paustenbach DJ. (1987). Assessing the potential environmental and human health risks of contaminated soil. Comments Toxicol 1:185–220.
   Google Scholar
• Paustenbach DJ. (1989). Important recent advances in the practice of health risk assessment: Implications for the 1990s. Regul Toxicol Pharmacol 10:204–243.
   PubMed Web of Science ®Google Scholar
• Paustenbach DJ. (1995). The practice of health risk assessment in the United States (1975–1995): How the US and other countries can benefit from that experience. Hum Ecol Risk Assess 1:29–79.
   Google Scholar
• Paustenbach DJ. (2000). The practice of exposure assessment: A state-of-the-art review. J Toxicol Environ Health B Crit Rev 3:179–291.
   PubMed Web of Science ®Google Scholar
• Paustenbach DJ, ed. (2002). Human and Ecological Risk Assessment: Theory and Practice. New York: John Wiley & Sons.
   Google Scholar
• Paustenbach DJ, Price PS, Ollison W, Blank C, Jernigan JD, Bass RD, Peterson HD. (1992). Reevaluation of benzene exposure for the pliofilm (rubberworker) cohort (1936–1976). J Toxicol Environ Health A 36:177–231.
   PubMed Web of Science ®Google Scholar
• Paustenbach DJ, Leung HW, Rothrock J. (1999). Health risk assessment. In: Adams R, ed. Occupational Skin Disease. Philadelphia, PA: WB, Saunders.
   Google Scholar
• Paustenbach DJ, Finley BL, Mowat FS, Kerger BD. (2003). Human health risk and exposure assessment of chromium (VI) in tap water. J Toxicol Environ Health A 66:1295–1339.
   PubMed Web of Science ®Google Scholar
• Paustenbach DJ, Madl AK, Donovan E, Clark K, Fehling K, Lee TC. (2006). Chrysotile asbestos exposure associated with removal of automobile exhaust systems (ca. 1945–1975) by mechanics: Results of a simulation study. J Expo Sci Environ Epidemiol 16:156–171.
   PubMed Web of Science ®Google Scholar
• Petersen BJ. (2003). Methodological aspects related to aggregate and cumulative exposures to contaminants with common mechanisms of toxicity. Toxicol Lett 140–141:427–435.
   Google Scholar
• Pleil JD, Kim D, Prah JD, Rappaport SM. (2007). Exposure reconstruction for reducing uncertainty in risk assessment: Example using MTBE biomarkers and a simple pharmacokinetic model. Biomarkers 12:331–348.
   PubMed Web of Science ®Google Scholar
• Price PS, Chaisson CF. (2005). A conceptual framework for modeling aggregate and cumulative exposures to chemicals. J Expo Anal Environ Epidemiol 15:473–481.
   PubMedGoogle Scholar
• Proctor DM, Otani JM, Finley BL, Paustenbach DJ, Bland JA, Speizer N, Sargent EV. (2002). Is hexavalent chromium carcinogenic via ingestion? A weight-of-evidence review. J Toxicol Environ Health A 65:701–746.
   PubMed Web of Science ®Google Scholar
• Proctor DM, Panko JP, Liebig EW, Paustenbach DJ. (2004). Estimating historical occupational exposure to airborne hexavalent chromium in a chromate production plant: 1940–1972. J Occup Environ Hyg 1:752–767.
   PubMed Web of Science ®Google Scholar
• Quinn MM, Smith TJ, Youk AO, Marsh GM, Stone RA, Buchanich JM, Gula MJ. (2001). Historical cohort study of US man-made vitreous fiber production workers: VIII. Exposure-specific job analysis. J Occup Environ Med 43:824–834.
   PubMed Web of Science ®Google Scholar
• Ramachandran G. (2001). Retrospective exposure assessment using Bayesian methods. Ann Occup Hyg 45:651–667.
   PubMed Web of Science ®Google Scholar
• Ramachandran G, Vincent JH. (1999). A Bayesian approach to retrospective exposure assessment. Appl Occup Environ Hyg 14:547–557.
   PubMedGoogle Scholar
• Rappaport SM. (1991). Selection of the measures of exposure for epidemiology studies. Appl Occup Environ Hyg 6:448–457.
   Google Scholar
• Rappaport SM, Kromhout H, Symanski E. (1993). Variation of exposure between workers in homogeneous exposure groups. Am Ind Hyg Assoc J 54:654–662.
   PubMed Web of Science ®Google Scholar
• Reed JV, Harcourt AK. (1941). The essentials of occupational diseases. Springfield, IL: Thomas.
   Google Scholar
• Reitz RH, Gargas ML, Andersen ME, Provan WM, Green TL. (1996). Predicting cancer risk from vinyl chloride exposure with a physiologically based pharmacokinetic model. Toxicol Appl Pharmacol 137:253–267.
   PubMed Web of Science ®Google Scholar
• Riley DM, Newby CA, Leal-Almeraz TO, Thomas VM. (2001). Assessing elemental mercury vapor exposure from cultural and religious practices. Environ Health Perspect 109:779–784.
   PubMed Web of Science ®Google Scholar
• Rinsky RA, Young RJ, Smith AB. (1981a). Leukemia in benzene workers. Am J Ind Med 2:217–245.
   PubMedGoogle Scholar
• Rinsky RA, Zumwalde RD, Waxweiler RJ, Murray WE Jr, Bierbaum PJ, Landrigan PJ, Terpilak M, Cox C. (1981b). Cancer mortality at a Naval Nuclear Shipyard. Lancet 1:231–235.
   PubMed Web of Science ®Google Scholar
• Ripple SR, Widner TE, Mongan TR. (1996). Past radionuclide releases from routine operations at Rocky Flats. Health Phys 71:502–509.
   PubMedGoogle Scholar
• Romundstad P, Haldorsen T, Ronneberg A. (1999). Exposure to PAH and fluoride in aluminum reduction plants in Norway: Historical estimation of exposure using process parameters and industrial hygiene measurements. Am J Ind Med 35:164–174.
   PubMed Web of Science ®Google Scholar
• Romundstad PR, Ronneberg A, Leira HL, Bye T. (1998). Health survey of former workers in a Norwegian coke plant: Part. 1. Estimation of historical exposures. Occup Environ Med 55:616–621.
   PubMedGoogle Scholar
• Rothman KJ, Greenland S, Lash L. (2008). Modern Epidemiology. 3rd ed. Philadelphia, PA: Lippincott Williams & Wilkins.
   Google Scholar
• Roy A, Georgopoulos PG. (1998). Reconstructing week-long exposures to volatile organic compounds using physiologically based pharmacokinetic models. J Expo Anal Environ Epidemiol 8:407–422.
   PubMedGoogle Scholar
• Rybicki BA, Johnson CC, Peterson EL, Kortsha GX, Gorell JM. (1997). Comparability of different methods of retrospective exposure assessment of metals in manufacturing industries. Am J Ind Med 31:36–43.
   PubMed Web of Science ®Google Scholar
• Sahmel J, Boeniger M. (2006). Dermal exposure assessments. In: Ignacio JS, Bullock WH eds. A Strategy for Assessing and Managing Occupational Exposures. Fairfax, VA: American Industrial Hygiene Association Press.
   Google Scholar
• Sahmel J, Unice K, Scott P, Cowan D, Paustenbach D. (2009). The use of multi-zone models to estimate an airborne chemical contaminant generation and decay profile: Occupational exposures of hairdressers to vinyl chloride in hairspray during the 1960s and 1970s. Risk Anal 29:1699–1725.
   PubMed Web of Science ®Google Scholar
• Saltelli A. (2002). Sensitivity analysis for importance assessment. Risk Anal 22:579–590.
   PubMed Web of Science ®Google Scholar
• Sanderson WT, Petersen MR, Ward EM. (2001). Estimating historical exposures of workers in a beryllium manufacturing plant. Am J Ind Med 39:145–157.
   PubMed Web of Science ®Google Scholar
• Schneider S. (1991). Past approaches to retrospective epidemiological occupational exposure assessment: The use and misuse of exposure assessment. Appl Occup Environ Hyg 6:547–549.
   Google Scholar
• Schneider T, Vermeulen R, Brouwer DH, Cherrie JW, Kromhout H, Fogh CL. (1999). Conceptual model for assessment of dermal exposure. Occup Environ Med 56:765–773.
   PubMed Web of Science ®Google Scholar
• Schultz M, Cisek J, Wabeke R. (1995). Simulated exposure of hospital emergency personnel to solvent vapors and respirable dust during decontamination of chemically exposed patients. Ann Emerg Med 26:324–329.
   PubMed Web of Science ®Google Scholar
• Sedman R, Funk LM, Fountain R. (1998). Distribution of residence duration in owner occupied housing. J Expo Anal Environ Epidemiol 8:51–58.
   PubMedGoogle Scholar
• Seel EA, Zaebst DD, Hein MJ, Liu J, Nowlin SJ, Chen P. (2007). Inter-rater agreement for a retrospective exposure assessment of asbestos, chromium, nickel and welding fumes in a study of lung cancer and ionizing radiation. Ann Occup Hyg 51:601–610.
   PubMedGoogle Scholar
• Seixas NS, Checkoway H. (1995). Exposure assessment in industry specific retrospective occupational epidemiology studies. Occup Environ Med 52:625–633.
   PubMed Web of Science ®Google Scholar
• Seixas NS, Robins TG, Moulton LH. (1988). The use of geometric and arithmetic mean exposures in occupational epidemiology. Am J Ind Med 14:465–477.
   PubMed Web of Science ®Google Scholar
• Seixas NS, Robins TG, Becker M. (1993). A novel approach to the characterization of cumulative exposure for the study of chronic occupational disease. Am J Epidemiol 137:463–471.
   PubMedGoogle Scholar
• Shade WD, Jayjock MA. (1997). Monte Carlo uncertainty analysis of a diffusion model for the assessment of halogen gas exposure during dosing of brominators. Am Ind Hyg Assoc J 58:418–424.
   PubMed Web of Science ®Google Scholar
• Sheehan P, Malzahn D, Goswami E, Mandel JH. (2008). Simulation of benzene exposure during use of a mineral spirit solvent to clean elevator bearing housings. Hum Ecol Risk Assess 14:421–432.
   Web of Science ®Google Scholar
• Shlyakhter AI, Goodman G, Wilson R. (1992). Monte Carlo simulation of rodent carcinogenicity bioassays. Risk Anal 12:73–82.
   PubMed Web of Science ®Google Scholar
• Sielken RL Jr. (1989). Useful tools for evaluating and presenting more science in quantitative cancer risk assessment. Toxic Subst J 9:353–404.
   Google Scholar
• Sielken RL Jr, Stevenson DE. (1997). Opportunities to improve quantitative risk assessment. Hum Ecol Risk Assess 3:479–490.
   Web of Science ®Google Scholar
• Sielken RL Jr, Valdez-Flores C. (1996). Comprehensive realism’s weight-of-evidence based distributional dose-response characterization. Hum Ecol Risk Assess 2:175–193.
   Web of Science ®Google Scholar
• Siemiatycki J. (1996). Exposure assessment in community-based studies of occupational cancer. Occup Hyg 3:41–58.
   Google Scholar
• Siemiatycki J, Fritschi L, Nadon L, Gerin M. (1997). Reliability of an expert rating procedure for retrospective assessment of occupational exposures in community-based case-control studies. Am J Ind Med 31:280–286.
   PubMed Web of Science ®Google Scholar
• Siemiatycki J, et al. (1981). Exposure based case-control approach to discovering occupational carcinogens: Preliminary findings. In: Quantification of Occupational Cancer. Cold Spring Harbor, NY: Cold Spring Harbor Laboratories.
   Google Scholar
• Simon T. (1997). Combining physiologically based pharmacokinetics modeling with Monte Carlo simulation to derive an acute inhalation guidance value for trichloroethylene. Regul Toxicol Pharmacol 26:257–270.
   PubMed Web of Science ®Google Scholar
• Sivulka DJ, Seilkop SK. (2009). Reconstruction of historical exposures in the US Nickel Alloy Industry and the implications for carcinogenic hazard and risk assessments. Regul Toxicol Pharmacol 53:174–185.
   PubMed Web of Science ®Google Scholar
• Smith AE, Ryan PB, Evans JS. (1992). The effect of neglecting correlations when propagating uncertainty and estimating population distribution of risk. Risk Anal 12:467–674.
   PubMed Web of Science ®Google Scholar
• Smith RL. (1994). Use of Monte Carlo simulation for human exposure assessment at a superfund site. Risk Anal 14:433–439.
   PubMed Web of Science ®Google Scholar
• Smith RW, Sahl JD, Kelsh MA, Zalinski J. (1997). Task-based exposure assessment: Analytical strategies for summarizing data by occupational groups. Am Ind Hyg Assoc J 58:402–412.
   Web of Science ®Google Scholar
• Smith T, Hammond SK, Hallock M, Woskie SR. (1991). Exposure assessment for epidemiology: Characteristics of exposure. Appl Occup Environ Hyg 6:441–447.
   Google Scholar
• Smith TJ, Hammond SK, Laidlaw F, Fine S. (1984). Respiratory exposures associated with silicon carbide production: Estimation of cumulative exposures for an epidemiological study. Br J Ind Med 41:100–108.
   PubMedGoogle Scholar
• Smith TJ, Hammond SK, Wong O. (1993). Health effects of gasoline exposure: I: Exposure assessment for US distribution workers. Environ Health Perspect 101:13–21.
   PubMed Web of Science ®Google Scholar
• Smith TJ, Quinn MM, Marsh GM, Youk AO, Stone RA, Buchanich JM, Gula MJ. (2001). Historical cohort study of US man-made vitreous fiber production workers: VII. Overview of the exposure assessment. J Occup Environ Med 43:809–823.
   PubMed Web of Science ®Google Scholar
• Sohn MD, McKone TE, Blancato JN. (2004). Reconstructing population exposures from dose biomarkers: Inhalation of trichloroethylene (TCE) as a case study. J Expo Anal Environ Epidemiol 14:204–213.
   PubMedGoogle Scholar
• Spencer JW, Plisko MJ. (2007). A comparison study using a mathematical model and actual exposure monitoring for estimating solvent exposures during the disassembly of metal parts. J Occup Environ Hyg 4:253–259.
   PubMed Web of Science ®Google Scholar
• Stanek EJ, Calabrese EJ. (1995). Soil ingestion estimates for use in site evaluation based on the best tracer method. Hum Ecol Risk Assess 1:133–156.
   Google Scholar
• Stewart PA, Blair A, Cubit D, Bales R, Kaplan S, Ward J, Gaffey W, O’Berg M, Walrath J. (1986). Estimating historical exposures to formaldehyde in a retrospective mortality study. Appl Ind Hyg 1:34–41.
   Google Scholar
• Stewart PA. (1999). Challenges to retrospective exposure assessment. Scand J Work Environ Health 25:505–510.
   PubMed Web of Science ®Google Scholar
• Stewart PA, Stenzel M. (2000). Exposure assessment in the occupational setting. Appl Occup Environ Hyg 15:435–444.
   PubMedGoogle Scholar
• Stewart PA, Herrick RF. (1991). Issues in performing retrospective exposure assessment. Appl Occ Environ Hyg 6:421–427.
   Google Scholar
• Stewart PA, Triolo H, Zey J, White D, Herrick R, Hornung R, Dosemeci M, Pottern LM. (1995). Exposure assessment for a study of workers exposed to acrylonitrile. II. A computerized exposure assessment program. Appl Occup Environ Hyg 10:698–705.
   Google Scholar
• Stewart PA, Lees PS, Francis M. (1996). Quantification of historical exposures in occupational cohort studies. Scand J Work Environ Health 22:405–414.
   PubMed Web of Science ®Google Scholar
• Stewart PA, Zaebst D, Zey JN, Herrick R, Dosemeci M, Hornung R, Bloom T, Pottern L, Miller BA, Blair A. (1998). Exposure assessment for a study of workers exposed to acrylonitrile. Scand J Work Environ Health 24(Suppl 2):42–53.
   PubMed Web of Science ®Google Scholar
• Stewart PA, Carel R, Schairer C, Blair A. (2000). Comparison of industrial hygienists’ exposure evaluations for an epidemiologic study. Scand J Work Environ Health 26:44–51.
   PubMed Web of Science ®Google Scholar
• Stewart PA, Lees PS, Correa A, Breysse P, Gail M, Graubard BI. (2003). Evaluation of three retrospective exposure assessment methods. Ann Occup Hyg 47:399–411.
   PubMed Web of Science ®Google Scholar
• Suh H. (2004). Detailed Characterization of Indoor Personal Particulate Matter Concentrations. Final Report. Boston, MA: Harvard School of Public Health.
   Google Scholar
• ten Berge WF. (2008). Homepage of Wil ten Berge 2008. Available at: http://home.planet.nl/~wtberge/. Accessed October 21, 2008.
   Google Scholar
• Tielemans E, Heederik D, Burdorf A, Vermeulen R, Veulemans H, Kromhout H, Hartog K. (1999). Assessment of occupational exposures in a general population: Comparison of different methods. Occup Environ Med 56:145–151.
   PubMed Web of Science ®Google Scholar
• Travis CC, Craig PH, Bowers JC. (1991). Characterization of human exposure to ambient levels of benzene using pulmonary ‘Wash-Out’ data. Atmos Environ 25A:1643–1647.
   Google Scholar
• US Centers for Disease Control and Prevention. (2005). Third National Report on Human Exposure to Environmental Chemicals, edited by US Department of Health and Human Services. Atlanta: National Center for Environmental Health. Publication No. 05-0579.
   Google Scholar
• US Centers for Disease Control and Prevention, National Center for Environmental Health. (2008a). National Health and Nutrition Examination Survey (NHANES). Available at: http://www.cdc.gov/nchs/nhanes/nhanes_questionnaires.htm
   Google Scholar
• US Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health. (2008b). NIOSH Program Area—OCAS—Technical Documents Used in Dose Reconstruction. Available at: http://www.cdc.gov/niosh/ocas/ocastbds.html.
   Google Scholar
• US Environmental Protection Agency. (1986). Final Report: Formaldehyde Exposure Model—Description and Demonstration. EPA Contract No. 68-02-3968.
   Google Scholar
• US Environmental Protection Agency. (1989). Risk assessment guidance for Superfund. In: Volume 1: Human Health Evaluation Manual (Part A). Interim Final. Washington, DC: Office of Emergency and Remedial Response. EPA 540/1-89/002.
   Google Scholar
• US Environmental Protection Agency. (1992a). Guidelines for exposure assessment; Notice. Federal Register 57:22888–22938.
   Google Scholar
• US Environmental Protection Agency. (1992b). Supplemental Guidance to RAGS: Calculating the Concentration Term. Washington, DC: US Environmental Protection Agency, Office of Solid Waste and Emergency Response. OSWER Directive 9285.7-081.
   Google Scholar
• US Environmental Protection Agency. (1995). Guidance for Risk Characterization. Washington, DC: Science Policy Council.
   Google Scholar
• US Environmental Protection Agency. (1996). Draft guidelines for carcinogenic risk assessment. Federal Register 61:17960–18011.
   Google Scholar
• US Environmental Protection Agency. (1997a). Exposure Factors Handbook (Final Report). Washington, DC: US Environmental Protection Agency. EPA/600/P-95/002F a-c.
   Google Scholar
• US Environmental Protection Agency. (1997b). Guiding principles for Monte Carlo Analysis. Washington, DC: Risk Assessment Forum, Office of Research and Development. EPA 630/R-97/001.
   Google Scholar
• US Environmental Protection Agency. (1998). Integrated Risk Information System (IRIS). Washington, DC: US Environmental Protection Agency (USEPA).
   Google Scholar
• US Environmental Protection Agency. (2001). Risk Assessment Guidance for Superfund (RAGS). Vol III, Part A: Process for Conducting Probabilistic Risk Assessment. Washington, DC: US Environmental Protection Agency (USEPA), Office of Emergency and Remedial Response.
   Google Scholar
• US Environmental Protection Agency. (2000a). Human Health Risk Assessment for Diazinon. Washington, DC: US Environmental Protection Agency (USEPA), Office of Pesticide Programs Health Effects Division.
   Google Scholar
• US Environmental Protection Agency. (2000b). Options for Development of Parametric Probability Distributions for Exposure Factors. Washington, DC: US Environmental Protection Agency (USEPA), Office of Research and Development, National Center for Environmental Assessment. EPA/600/R-00/058.
   Google Scholar
• US Environmental Protection Agency. (2001). General Principles for Performing Aggregate Exposure and Risk Assessment. Washington, DC: US Environmental Protection Agency (USEPA), Office of Pesticide Programs.
   Google Scholar
• US Environmental Protection Agency. (2003). SHEDS-PM: A Population Exposure Model for Predicting Distributions of PM Exposure and Dose from Both Outdoor and Indoor Sources. Washington, DC: US Environmental Protection Agency (USEPA), Office of Research and Development, National Exposure Research Laboratory.
   Google Scholar
• US Environmental Protection Agency. (2004). An examination of EPA risk assessment principles and practices. Washington, DC: US Environmental Protection Agency (USEPA), Office of the Science Advisor. EPA/100/B-04/001.
   Google Scholar
• US Environmental Protection Agency. (2005). Ritualistic Use of Mercury Simulation: A Preliminary Investigation of Metallic Mercury Vapor Fate and Transport in a Trailer. Washington, DC: US Environmental Protection Agency (USEPA), Office of Solid Waste and Emergency Response. EPA/540/-04/006.
   Google Scholar
• US Environmental Protection Agency. (2007). ProUCL Version 4.00.02 User Guide. Washington, DC: US Environmental Protection Agency (USEPA).
   Google Scholar
• US Environmental Protection Agency. (2009). Chemical Screening Tool For Exposures & Environmental Releases. Washington, DC: US Environmental Protection Agency (USEPA), Office of Pollution Prevention and Toxic Substances, Chemical Engineering Branch.
   Google Scholar
• van Tongeren MJ, Barker RD, Gardiner K, Harris JM, Venables KM, Harrington JM, Newman Taylor AJ. (1998). Retrospective exposure assessment for a cohort study into respiratory effects of acid anhydrides. Occup Environ Med 55:692–696.
   PubMedGoogle Scholar
• van Veen MP.(2001). CONSEXPO 3. 0: Consumer Exposure and Uptake Models. Bilthoven, The Netherlands: National Institute of Public Health and the Environment, Research for Man and Environment.
   Google Scholar
• van Wendel de Joode B. (2003). DREAM: A method for semi-quantitative dermal exposure assessment. Ann Occup Hyg 47:71–87.
   PubMed Web of Science ®Google Scholar
• van Wendel de Joode B, van Hemmen JJ, Meijster T, Major V, London L, Kromhout H. (2005). Reliability of a semi-quantitative method for dermal exposure assessment (DREAM). J Expo Anal Environ Epidemiol 15:111–120.
   PubMedGoogle Scholar
• Velazquez SF, McGinnis PM, Vater ST, Stiteler WS, Knauf LA, Schoeny RS. (1994). Combination of cancer data in quantitative risk assessments: Case study using bromodichloromethane. Risk Anal 14:285–292.
   PubMedGoogle Scholar
• Vermeulen R, Kromhout H. (2005). Historical limitations of determinant based exposure groupings in the rubber manufacturing industry. Occup Environ Med 62:793–799.
   PubMed Web of Science ®Google Scholar
• Vermeulen R, Li G, Lan Q, Dosemeci M, Rappaport SM, Bohong X, Smith MT, Zhang L, Hayes RB, Linet M, Mu R, Wang L, Xu J, Yin S, Rothman N. (2004). Detailed exposure assessment for a molecular epidemiology study of benzene in two shoe factories in China. Ann Occup Hyg 48:105–116.
   PubMed Web of Science ®Google Scholar
• Vernez D, Bruzzi R, Kupferschmidt H, De-Batz A, Droz P, Lazor R. (2006). Acute respiratory syndrome after inhalation of waterproofing sprays: A posteriori exposure-response assessment in 102 cases. J Occup Environ Hyg 3:250–261.
   PubMed Web of Science ®Google Scholar
• Vernez DS, Droz PO, Lazor-Blanchet C, Jaques S. (2004). Characterizing emission and breathing-zone concentrations following exposure cases to fluororesin-based waterproofing spray mists. J Occup Environ Hyg 1:582–592.
   PubMed Web of Science ®Google Scholar
• Viet SM, Stenzel M, Rennix C, Armstrong T, Couch J., eds. (2008). Guideline on Occupational Exposure Reconstruction. 1st ed. Fairfax, VA: American Industrial Hygiene Association Press.
   Google Scholar
• von Grote J, Hurlimann C, Scheringer M, Hungerbuhler K. (2003). Reduction of occupational exposure to perchloroethylene and trichloroethylene in metal degreasing over the last 30 years: Influences of technology innovation and legislation. J Expo Anal Environ Epidemiol 13:325–340.
   PubMedGoogle Scholar
• von Grote J, Hurlimann C, Scheringer M, Hungerbuhler K. (2006). Assessing occupational exposure to perchloroethylene in dry cleaning. J Occup Environ Hyg 3:606–619.
   PubMedGoogle Scholar
• Vose D. (1996). Quantitative Risk Analysis: A Guide to Monte Carlo Simulation Modeling. New York: John Wiley and Sons.
   Google Scholar
• Walker KD, Evans JS, MacIntosh D. (2001). Use of expert judgment in exposure assessment. Part I. Characterization of personal exposure to benzene. J Expo Anal Environ Epidemiol 11:308–322.
   PubMedGoogle Scholar
• Walker KD, Catalano P, Hammitt JK, Evans JS. (2003). Use of expert judgment in exposure assessment: Part 2. Calibration of expert judgments about personal exposures to benzene. J Expo Anal Environ Epidemiol 13:1–16.
   PubMedGoogle Scholar
• Wartenberg D, Uchrin C, Coogan P. (1991). Estimating exposure using kriging: A simulation study. Environ Health Perspect 94:75–82.
   PubMedGoogle Scholar
• Weisel C, Yu R, Roy A, Georgopoulos P. (1996). Biomarkers of environmental benzene exposure. Environ Health Perspect 104(Suppl 6):1141-1146.
   Google Scholar
• Widner T. (1994). Decision making and dose reconstruction studies. Paper read at Topical meeting hosted by the Prairie State Chapter of the Health Physics Society.
   Google Scholar
• Widner T, Flack SM. (2002). Dose reconstructions for radionuclides and chemicals: Case study involving federal facilities at Oak Ridge, Tennessee. In: Paustenbach DJ, ed. Human and Ecological Risk Assessment: Theory and Practice. New York: John Wiley & Sons.
   Google Scholar
• Widner TE, Ripple SR, Buddenbaum JE. (1996). Identification and screening evaluation of key historical materials and emission sources at the Oak Ridge Reservation. Health Phys 71:457–469.
   PubMedGoogle Scholar
• Williams PR, Paustenbach DJ. (2003). Reconstruction of benzene exposure for the Pliofilm cohort (1936–1976) using Monte Carlo techniques. J Toxicol Environ Health A 66:677–781.
   PubMed Web of Science ®Google Scholar
• Williams PR, Paustenbach DJ. (2005). Characterizing historical industrial hygiene data: A case study involving benzene exposures at a chemical manufacturing facility (1976–1987). J Occup Environ Hyg 2:341–350.
   PubMed Web of Science ®Google Scholar
• Williams PR, Panko JM, Unice K, Brown JL, Paustenbach DJ. (2008). Occupational exposures associated with petroleum-derived products containing trace levels of benzene. J Occup Environ Hyg 5:565–574.
   PubMed Web of Science ®Google Scholar
• Wilschut A, ten Berge WF, Robinson PJ, McKone TE. (1995). Estimating skin permeation. The validation of five mathematical skin permeation models. Chemosphere 30:1275–1296.
   PubMed Web of Science ®Google Scholar
• World Health Organization. (1983). Guidelines on Studies in Environmental Epidemiology. Environmental Health Criteria 27, International Programme on Chemical Safety (IPCS). Geneva, Switzerland: World Health Organization (WHO) Press.
   Google Scholar
• World Health Organization. (2005). Principles of Characterizing and Applying Human Exposure Models. Geneva, Switzerland: World Health Organization (WHO) Press.
   Google Scholar
• World Health Organization. (2008). Uncertainty and Data Quality in Exposure Assessment, International Programme on Chemical Safety (IPCS) Harmonization Project No. 6. Geneva, Switzerland: World Health Organization (WHO) Press.
   Google Scholar
• Yokley K, Tran HT, Pekari K, Rappaport S, Riihimaki V, Rothman N, Waidyanatha S, Schlosser PM. (2006). Physiologically-based pharmacokinetic modeling of benzene in humans: A Bayesian approach. Risk Anal 26:925–943.
   PubMed Web of Science ®Google Scholar
• Yu R, Tan W, Matthew R, Andjelkovich DA, Levine R. (1990). A deterministic mathematical model for quantitative estimation of historical exposure. Am Ind Hyg Assoc J 51:194–201.
   Web of Science ®Google Scholar
• Zartarian VG, Xue J, Ozkaynak H, Dang W, Glen G, Smith L, Stallings C. (2006). A probabilistic arsenic exposure assessment for children who contact CCA-treated playsets and decks, Part 1: Model methodology, variability results, and model evaluation. Risk Anal 26:515–531.
   PubMedGoogle Scholar