References
- Adekeye, K.S. & Aluko, O.S. (2012). Design of CUSUM scheme for monitoring road accident fatalities. Open Journal of Statistics, 2, 213–218.
- Benneyan, J.C. (1998a). Statistical quality control methods in infection control in hospital epidemiology, Part I: Introduction and basic theory. Infection Control and Hospital Epidemiology, 19, 194–219.
- Benneyan, J.C. (1998b). Statistical quality control methods in infection control in hospital epidemiology, Part II: Chart use, statistical properties, and research issues. Infection Control and Hospital Epidemiology, 19(4), 265–283.
- Benneyan, J.C. (2008). The design, selection, and performance of statistical control charts for healthcare process improvement. International Journal of Six Sigma and Competitive Advantage, 4(3), 209–239.
- Blindauer, H.H. & Michael, H.L. (1959). An analysis of high accident rates. Technical paper. Publication FHWA /IN/JHRP-59/14. Joint Highway Research Project, Indiana Department of Transportation and Purdue University, West Lafayette, IN.
- Bureau of Labor Statistics (BLS). (2013). Injuries, illnesses and fatalities. Retrieved from http: //bls.gov/iif/
- Coory, M., Duckett, S., & Sketcher-Baker, K. (2007). Using control charts to monitor quality of hospital care with administrative data. International Journal for Quality in Health Care, 20(1), 31–39.
- Cournoyer, M., Garcia, V., Gallegos, U., & Wilburn, D. (2011). Investigation of injury/illness data at a nuclear facility. Journal of Chemical Health and Safety, 8(5), 17–25.
- Gan, F.F. (1994). Design of optimal exponential CUSUM control charts. Journal of Quality Technology, 26(2), 109–124.
- Gochfield, M. & Mohr, S. (2007). Protecting contract workers: Case study of the U.S. Department of Energy's nuclear and chemical waste management. American Journal of Public Health, 97(9), 1607–1613.
- Grigg, O.A., Farewell, V.T., & Spiegelhalter, D.J. (2003). Use of risk-adjusted CUSUM and RSPRT charts for monitoring in medical contexts. Statistical Methods in Medical Research, 12(2), 147–170.
- Guria, J. & Mara, K. (2000). Monitoring performance of road safety programmes in New Zealand. Accident Analysis and Prevention, 32, 695–702.
- Hawkins, D.M. & Olwell, D.H. (1998). Cumulative sum charts and charting for quality improvement. New York: Springer Verlag.
- Khanzode, V.V., Maiti, J., & Ray, P.K. (2011). A methodology for evaluation and monitoring of recurring hazards in coal mining. Safety Science, 49, 1172–1179.
- Khoo, M.B & Xie, M. (2009). A study of time-between-events control charts for the monitoring of regularly maintained systems. Quality and Reliability Engineering International, 25, 805--819.
- Lander, L., Eisen, E.A., Stentz, T.L., Spanjer, K.L., Wendland, B.E., & Perry, M.J. (2011). Near miss reporting system as an occupational injury preventive intervention in manufacturing. American Journal of Industrial Medicine, 54, 40–48.
- Langley, J. (2004). Challenges for surveillance for injury prevention. International Journal of Injury Control and Safety Prevention, 11(1), 3–8.
- Lucas, J.M. (1985). Counted data CUSUM's. Technometrics, 27(2), 129–144.
- Montgomery, D.C. (2008). Introduction to statistical quality control (6th ed.). Hoboken, NJ: John Wiley.
- National Institute of Occupational Safety and Health (NIOSH). (2011). What is Surveillance? Retrieved from http://www.cdc.gov/niosh/topics/surveillance/
- National Occupational Research Agenda (NORA). (2012).Surveillance. Retrieved from http://www.cdc.gov/niosh/programs/surv/goals.html
- Occupational Safety and Health Administration (OSHA). (2013). Commonly used statistics. Retrieved from http://www.osha.gov/oshstats/commonstats.html
- Osanaiy, P.A., & Talabai, C.O. (1989). On some non-manufacturing applications of counted data cumulative sum (CUSUM) control chart schemes. Journal of the Royal Statistical Society, Series D (The Statistician), 38(4), 251–257.
- Page, E.S. (1954). Continuous inspection schemes. Biometrika, 41, 100–115.
- Peden, M. & Toroyan, T. (2005). Counting road traffic deaths and injuries: Poor data should not detract from doing something! Annals of Emergency Medicine, 46(2), 158–160.
- Reynolds, M.R., Jr. & Stoumbos, Z.G. (1999). A CUSUM chart for monitoring a proportion when inspecting continuously. Journal of Quality Technology, 31(1), 87–108.
- Reynolds, M.R., Jr. & Stoumbos, Z.G. (2000). A general approach to modeling CUSUM charts for a proportion. IIE Transactions, 32, 515–535.
- Reynolds, M.R., Jr. & Stoumbos, Z.G. (2004). Control charts and the efficient allocation of sampling resources. Technometrics, 46(2), 200–214.
- Schuh, A., Woodall, W.H., & Camelio, J.A. (in press). The effect of aggregation when monitoring a Poisson process. Journal of Quality Technology.
- Sego, L.H., Woodall, W.H., & Reynolds, M.R., Jr. (2008). A comparison of surveillance methods for small incidence rates. Statistics in Medicine, 27, 1225–1247.
- Sethi, D. & Zwi, A. (1999). Traffic crashes another disaster? European Journal of Public Health, 9(1), 65–66.
- Sparks, R.S. (2000). CUSUM charts for signalling varying location shifts. Journal of Quality Technology, 32, 157–171.
- Sparks, R. (2010). Enhancing road safety through early detection of outbreaks in the frequency of motor vehicle crashes. Safety Science, 41, 135–144.
- Szarka, J.L., III & Woodall, W.H. (2011). A review and perspective on surveillance of Bernoulli processes. Quality and Reliability Engineering International, 27, 735–752.
- Tsung, F. & Wang, K. (2010). Adaptive charting techniques: Literature review and extensions. In H.J. Lenz, P.-Th. Wilrich, & W. Schmid (Eds.), Frontiers in statistical quality control (Vol. 9, pp. 19–35). Berlin-Heidelberg: Springer-Verlag.
- White, C.H., Keats, J.B., & Stanley, J. (1997). Poisson CUSUM versus c chart for defect data. Quality Engineering, 9(4), 673–679.
- Woodall, W.H. (2006). The use of control charts in health-care and public-health surveillance. Journal of Quality Technology, 38(2), 89–134.
- Woodall, W.H., Grigg, O.A., & Burkom, H.S. (2010). Research issues and ideas on health related surveillance. In H.J. Lenz, P.-Th. Wilrich, & W. Schmid (Eds.), Frontiers in statistical quality control (Vol. 9, pp. 145–155). Berlin-Heidelberg: Springer-Verlag.
- Wu, Z., Liu, Y., Zhen, H., & Khoo, M. (2010). A cumulative sum scheme for monitoring frequency and size of an event. Quality and Reliability Engineering International, 26, 541–554.