Publication Cover
Inhalation Toxicology
International Forum for Respiratory Research
Volume 11, 1999 - Issue 6-7
18
Views
7
CrossRef citations to date
0
Altmetric
Research Article

BENCHMARK DOSES FOR DEVELOPMENTAL TOXICANTS

Pages 579-591 | Published online: 01 Oct 2008

REFERENCES

  • Barnes, D. G., and Dourson, M. 1988. Reference dose (RfD): Description and use in health risk assessments. ReguL Toxicol. Pharmacol. 8:471–486.
  • Bosch, R. J., Wypij, D., and Ryan, L. M. 1996. A semiparametric approach to risk assessment for quantitative outcomes. Risk Anal. 16:657–665.
  • Bowman, D., Chen, J. J., and George, E. 0. 1995. Estimating variance functions in developmental toxicity studies. Biometrics 51:1523–1528.
  • Carr, G. J., and Portier, C. J. 1993. An evaluation of some methods for fitting dose-response models to quantal-response developmental toxicology data. Biometrics 49:779–791.
  • Catalano, P. J., and Ryan, L. M. 1992. Bivariate latent variable models for clustered discrete and con-tinuous outcomes.]. Am. Stat. Assoc. 87:651–658.
  • Catalano, P. J., Scharfstein, D. 0., Ryan, L., Kimmel, C., and Kimmel, G. 1993. Statistical model for fetal death, fetal weight, and malformation in developmental toxicity studies. Teratology 47: 281–290.
  • Chen, J. J. 1993. A malformation incidence dose-response model incorporating fetal weight and/or litter size as covariates. Risk Anal. 13:559–564.
  • Chen, J. J., and Kodell, R. L. 1989. Quantitative risk assessment for teratologic effects. J. Am. Stat. Assoc. 84:966–971.
  • Chen, J. J., and Li, L. A. 1994. Dose-response modeling of trinomial responses from developmental experiments. Stat. Sin. 4:265–274.
  • Chen, J. J., Kodell, R. L., Howe, R. B., and Gaylor, D. W. 1991. Analysis of trinomial responses from reproductive and developmental toxicity experiments. Biometrics 47:1049–1058.
  • Crump, K. S. 1984. A new method for determining allowable daily intakes. Fundam. Appl. Toxicol. 4:854–871.
  • Faustmann, E. M., Lewandowski, T. A., Ponce, R. A., and Bartell, S.M. 1999. Biologically based dose-response models for developmental toxicants: Lesson from methylmercury. lnhal. Toxicol. 11:559–572.
  • Fung, K. Y., Krewski, D., Rao, J. N. K., and Scott, J. A. 1994. Tests for trend in developmental toxicity experiments with correlated binary data. Risk Anal. 14:639–648.
  • Gaylor, D. W., Ryan, L., Krewski, D., and Zhu, Y. 1998. Procedures for calculating benchmark doses for health risk assessment. Regul. Toxicol. Pharmaco1.28:150–164.
  • Kavlock, R. J., Schmid, J. E., and Setzer, R. W. 1996. A simulation study of the influence of study design on the estimation of benchmark doses for developmental toxicity. Risk Anal. 16:399–410.
  • Kimmel, C. A., and Gaylor, D. W. 1988. Issues in qualitative and quantitative risk analysis for devel-opmental toxicity. Risk Anal. 8:15–20.
  • Kodell, R. L., and West, R. W. 1993. Upper confidence limits on excess risk for quantitative responses. Risk Anal. 13:177–182.
  • Krewski, D., and Zhu, Y. 1994. Applications of multinomial dose-response models in developmental toxicity risk assessment. Risk Anal. 14:613–627.
  • Krewski, D., and Zhu, Y. 1995. A simple data transformation for estimating benchmark dose in devel-opmental toxicity experiments. Risk Anal. 15:29–39.
  • Krewski, D., Zhu, Y., and Fung, K. Y. 1996. Statistical analysis of overdispersed multinomial data from developmental toxicity studies. In Statistics in toxicity, ed. B. T. Morgan, pp. 151-178. New York: Oxford University Press.
  • Kupper, L. L., and Haseman, J. K. 1978. The use of a correlated binomial model for the analysis of certain toxicological experiments. Biometrics 34:69–76.
  • Kupper, L. L., Portier, C., Hogan, M. D., and Yamamoto, E. 1986. The impact of litter effects on dose-response modeling in teratology. Biometrics 42:85–98.
  • Leisenring, W., and Ryan, L. 1992. Statistical properties of the NOAEL. ReguL ToxicoL PharmacoL 15:161–171.
  • Liang, K. Y., and Zeger, S. L. 1986. Longitudinal data analysis using generalized linear models. Biometrika 73:13–22.
  • Marro, L. 1996. Comparison of Quantitative Risk Assessment Procedures Based on Overdispersecl Data from Developmental Toxicity Experiments. Unpublished MSc thesis, University of Windsor, Windsor, Ontario, Canada.
  • McCullagh, P., and Nelder, J. A. 1989. Generalized linear models. London: Chapman and Hall. Moore, D. F. 1987. Modelling the extraneous variation in the presence of extra-binomial variation. Appl. Stat. 36:8–14.
  • Prentice, R. L. 1986. Binary regression using an extended beta-binomial distribution, with discussion of correlation induced by covariate measurementerrors. J. Am. Stat. Assoc. 81:321–327.
  • Rao, J. N. K., and Scott, A. 1992. A simple method for analysis of clustered binary data. Biometrics 48:577–585.
  • Ryan, L. M. 1992a. The use of generalized estimating equations for risk assessment in developmental toxicity. Risk Anal. 12:439–447.
  • Ryan, L. M. 1992 b. Quantitative risk assessment for developmental toxicity. Biometrics 48:163-174. Ryan, L. M., Catalano, P. J., Kimmel, C., and Kimmel, G. 1991. Relationship between fetal weight and malformation in developmental toxicity studies. Teratology 44:215–223.
  • Stiteler, W. M., Joly, D. A., and Printup, H. A. T. 1993. Monte Carlo Investigation of Issues Relating to the Benchmark Dose Method. Task No. 2–30, Environmental Criteria and Assessment Office. Cincinnati, OH: U.S. Environmental Protection Agency.
  • Shuy, D., Lau, C., Logsdon, T. R., Zucker, R. M., Elstein, K. H., Narotsky, M. G., Setzer, R. W., Kavlock, R. J., and Rogers, J. M. 1994. Biologically-based dose-response modeling in devel-opmental toxicology: Biochemical and cellular sequelae of 5-fluorouracil in the developing rat. Toxicol. Applied PharmacoL 126:129–144.
  • U.S. Environmental Protection Agency. 1991. Guidelines for developmental toxicity risk assessment. Fed. Reg. 56: 63797–63826.
  • Williams, D. A. 1988. Estimation bias using the beta-binomial distribution in teratology. Biometrics 44:305–309.
  • Zhu, Y., and Fung, K. Y. 1996. Statistical methods in developmental toxicity risk assessment. In Toxicology, and risk assessment principles, methods and applications, eds. A. M. Fan and L. W. Chang, pp. 413-446. New York: Marcel Dekker.
  • Zhu, Y., Krewski, D., and Ross, W. H. 1994. Multinomial models for developmental toxicity experi-ments. Appl. Stat. 43:583–598.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.