Epidemiologically based environmental risk assessment

Statistical Science

Volumn 18, Issue 4, 2003, Pages 466-480

  Ryan, Louise ^a  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Arsenic; Carcinogenicity; Dose response; Quantitative risk assessment

Indexed keywords

EID: 2542617579     PISSN: 08834237     EISSN: None     Source Type: Journal    
DOI: 10.1214/ss/1081443230     Document Type: Article

References (62)

1. ABELSON, P. H. (1995). Flaws in risk assessments. Science 270215.
2. ALLEN, B. C., KAVLOCK, R. J., KIMMEL, C. A. and FAUSTMAN, E. M. (1994). Dose-response assessment for developmental toxicity. III. Statistical models. Fundamental and Applied Toxicology 23 496-509.
3. ARMITAGE, P. and DOLL, R. (1954). The age distribution of cancer and a multi-stage theory of carcinogenesis. British J. Cancer 8 1-12.
4. BRESLOW, N. E. and CAIN, K. C. (1988). Logistic regression for two-stage case-controlled data. Biometrika 75 11-20.
5. BRESLOW, N. E. and DAY, N. E. (1987). Statistical Methods in Cancer Research 2. The Design and Analysis of Cohort Studies. Oxford Univ. Press.
6. BRESLOW, N. E. and HOLUBKOV, R. (1997). Weighted likelihood, pseudo-likelihood and maximum likelihood methods for logistic regression analysis of two-stage data. Statistics in Medicine 16 103-116.
7. BRUMBACK, B. A., COOK, R. J. and RYAN, L. M. (2000). A meta-analysis of case-control and cohort studies with interval-censored exposure data: Application to chorionic villus sampling. Biostatistics 1 203-217.
8. CARROLL, R. J., RUPPERT, D. and STEFANSKI, L. A. (1995). Measurement Error in Nonlinear Models. Chapman and Hall, New York.
9. CHEN, C. J., CHUANG, Y. C., LIN, T. M. and WU, H. Y. (1985). Malignant neoplasms among residents of a blackfoot disease-endemic area in Taiwan: High-arsenic artesian well water and cancers. Cancer Res. 45 5895-5899.
10. CRUMP, K. S. (1984). A new method for determining allowable daily intakes. Fundamental and Applied Toxicology 4 854-871.
11. DOMINICI, F., SAMET, J. M. and ZEGER, S. L. (2000). Combining evidence on air pollution and daily mortality from the 20 largest US cities: A hierarchical modelling strategy (with discussion). J. Roy. Statist. Soc. Ser. A 163 263-302.
12. DUNSON, D. B. (2000). Models for papilloma multiplicity and regression: Applications to transgenic mouse studies. Appl. Statist. 49 19-30.
13. DUNSON, D. B. and DINSE, G. E. (2002). Bayesian models for multivariate current status data with informative censoring. Biometrics 58 79-88.
14. FERRECCIO, C., GONZALEZ, C., MILOSAVJLEVIC, V., MARSHALL, G., SANCHA, A. M. and SMITH, A. H. (2000). Lung cancer and arsenic concentrations in drinking water in Chile. Epidemiology 11 673-679.
15. FINKELSTEIN, D. M. (1991). Modeling the effect of dose on the lifetime tumor rate from an animal carcinogenicity experiment. Biometrics 47 669-680.
16. FREEDMAN, D. A. and ZEISEL, H. (1988). From mouse to man: The quantitative assessment of cancer risks (with discussion). Statist. Sci. 3 3-56.
17. GART, J. J., KREWSKI, D., LEE, P. N., TARONE, R. E. and WAHRENDORF, J. (1986). Statistical Methods in Cancer Research 3. The Design and Analysis of Long-Term Animal Experiments. Oxford Univ. Press.
18. GAYLOR, D. W. (1983). The use of safety factors for controlling risk. J. Toxicology Environmental Health 11 329-336.
19. GELMAN, A., Bois, F. and JIANG, J. (1996). Physiological pharmacokinetic analysis using population modeling and informative prior distributions J. Amer. Statist. Assoc. 91 1400-1412.
20. GOLDSTEIN, H. (1995). Multilevel Statistical Models. Arnold, London.
21. GREENLAND, S. and ROBINS, J. (1994). Ecologic studies - biases, misconceptions, and counterexamples (with discussion). Amer. J. Epidemiology 139 747-771.
22. HOEL, D. G. and WALBURO, H. E. (1972). Statistical analysis of survival experiments. J. Nat. Cancer Inst. 49 361-372.
23. HOLIAN, A. (1996). Air toxics: Biomarkers in environmental applications - Overview and summary of recommendations. Environmental Health Perspectives 104(Suppl. 5) 851-855.
24. KAPLAN, N., HOEL, D., PORTIER, C. and HOGAN, M. (1987). An evaluation of the safety factor approach in risk assessment. In Banbury Report 26: Developmental Toxicology: Mechanisms and Risk (J. A. McLachlan, R. M. Pratt and C. L. Markert, eds.) 335-346. Cold Spring Harbor Laboratory Press, Cold Spring Harbor, NY.
25. KIMMEL, C. A. and GAYLOR, D. W. (1988). Issues in qualitative and quantitative risk analysis for developmental toxicology. Risk Anal. 8(1) 15-20.
26. KODELL, R. and NELSON, C. (1980). An illness-death model for the study of the carcinogenic process using survival/sacrifice data. Biometrics 36 267-277.
27. LAIRD, N. M. and OLIVIER, D. C. (1981). Covariance analysis of censored survival data using log-linear analysis techniques. J. Amer. Statist. Assoc. 76 231-240.
28. LEISENRING, W. and RYAN, L. M. (1992). Statistical properties of the NOAEL. Regulatory Toxicology and Pharmacology 15 161-171.
29. LIN, T., GOLD, L. S. and FREEDMAN, D. (1995). Carcinogenicity tests and interspecies concordance. Statist. Sci. 10 337-353.
30. MANCUSO, J. Y., AHN, H., CHEN, J. J. and MANCUSO, J. P. (2002). Age-adjusted exact trend tests in the event of rare occurrences. Biometrics 58 403-412.
31. MOELLER, D. (1992). Environmental Health. Harvard Univ. Press. Cambridge, MA.
32. MOOLGAVKAR, S. H. and VENZON, D. J. (1979). Two-event models for carcinogenesis: Incidence curves for childhood and adult tumors. Math. Biosci. 47 55-77.
33. MORALES, K. H. (2001). Statistical issues in quantitative risk assessment with application to arsenic in drinking water. Ph.D. dissertation, Harvard School of Public Health.
34. MORALES, K. H., RYAN, L. M., KUO, T.-L., Wu, M.-M. and CHEN, C.-J. (2000). Risk of internal cancers from arsenic in drinking water. Environmental Health Perspectives 108 655-661.
35. MORGAN, B. J. T. (1992). Analysis of Quantal Response Data. Chapman and Hall, London.
36. NATIONAL RESEARCH COUNCIL (NRC) (1983). Risk Assessment in the Federal Government: Managing the Process. National Academy Press, Washington, DC.
37. NATIONAL RESEARCH COUNCIL (NRC) (1988). Health Risks of Radon and Other Internally Deposited Alpha-Emitters: BEIR IV. Committee on the Biological Effects of Ionizing Radiations. National Academy Press, Washington, DC.
38. NATIONAL RESEARCH COUNCIL (NRC) (1991). Environmental Epidemiology. National Academy Press, Washington, DC.
39. NATIONAL RESEARCH COUNCIL (NRC) (1994). Science and Judgement in Risk Assessment. National Academy Press, Washington, DC.
40. NATIONAL RESEARCH COUNCIL (NRC) (1999). Arsenic in Drinking Water. National Academy Press, Washington DC.
41. NATIONAL RESEARCH COUNCIL (NRC) (2001). Arsenic in Drinking Water: 2001 Update. National Academy Press, Washington, DC.
42. NIU, T. (2002). Gene-environment interaction. In Encyclopedia of Environmetrics 2 848-851. Wiley, New York.
43. OLDEN, K. and GUTHRIE, J. (1996). Air toxics regulatory issues facing urban settings. Environmental Health Perspectives 104(Suppl. 5) 857-860.
44. PIEGORSCH, W. and BAILER, A. J. (1997). Statistics for Environmental Biology and Toxicology. CRC Press, Boca Raton, FL.
45. PRENTICE, R. L. (1989). Surrogate endpoints in clinical trials Definitions and operational criteria. Statistics in Medicine 8 431-440.
46. PRENTICE, R. L. and SHEPPARD, L. (1995). Aggregate data studies of disease risk factors. Biometrika 82 113-125.
47. RAI, S. N., BARTLETT, S., KREWSKI, D. and PATERSON, J. (2002). The use of probabilistic risk assessment in establishing drinking water quality objectives. Human and Ecological Risk Assessment 8 493-509.
48. REILLY, M. and PEPE, M. S. (1995). A mean score method for missing and auxiliary covariate data in regression models. Biometrika 82 299-314.
49. RYAN, L. M., HUANG, W., THURSTON, S. W., KELSEY, K. T., WIENCKE, J. K. and CHRISTIANI, D. C. (2004). On the use of biomarkers for environmental health research. Stat. Methods Med. Res. To appear.
50. SCHULTE, P. A. (1993). Use of biological markers in occupational health research and practice. J. Toxicology and Environmental Health 40 359-366.
51. SMITH, T. J. (2002). Issues in exposure and dose assessment for epidemiology and risk assessment. Human and Ecological Risk Assessment 8 1267-1293.
52. SMITH, T. J., LIN, Y. S., MEZZETTI, M., BOIS, F. Y., KELSEY, K. and IBRAHIM, J. (2001). Genetic and dietary factors affecting human metabolism of 1,3-butadiene. Chemico-Biological Interactions 135 407-428.
53. TSENG, W. P., CHU, H. M., How, S. W., FONG, J. M., LIN, C. S. and YEH, S. (1968). Prevalence of skin cancer in an endemic area of chronic arsenicism in Taiwan. J. Nat. Cancer Inst. 40 453-463.
54. U.S. ENVIRONMENTAL PROTECTION AGENCY (U.S. EPA). (1988). Special report on inorganic arsenic: Skin cancer; nutritional essentiality. EPA 625/3-87/013, U.S. Environmental Protection Agency, Washington, DC.
55. U.S. ENVIRONMENTAL PROTECTION AGENCY (U.S. EPA). (1999). Guidelines for carcinogen risk assessment. Review Draft, NCEA-F-0644, July 1999, Risk Assessment Forum. Available at http://www.epa.gov/ncea/raf/cancer.htm.
56. U.S. ENVIRONMENTAL PROTECTION AGENCY (U.S. EPA). (2002). Health assessment document for 1,3-butadiene. EPA/600/P-98/001, Office of Research and Development, Washington, DC.
57. WACHOLDER, S. and WEINBERG, C. R. (1994). Flexible maximum-likelihood methods for assessing joint effects in case-control studies with complex sampling. Biometrics 50 350-357.
58. WAKEFIELD, J. (2003). Sensitivity analyses for ecological regression. Biometrics 59 9-17.
59. WAKEFIELD, J. C., SMITH, A. F. M., RACINE-POON, A. and GELFAND, A. E. (1994). Bayesian analysis of linear and nonlinear population models by using the Gibbs sampler. Appl. Statist. 43 201-221.
60. WHITE, J. E. (1982). A two stage design for the study of the relationship between a rare exposure and a rare disease. Amer. J. Epidemiology 115 119-128.
61. WRIGHT, C., LOPIPERO, P. and SMITH, A. (1997). Meta analysis and risk assessment. In Topics in Environmental Epidemiology (K. Steenland and D. Savitz, eds.) 28-63. Oxford Univ. Press.
62. ZHOU, W., LIU, G., MILLER, D. P., THURSTON, S. W., XU, L. L., WAIN, J. C., LYNCH, T. J., SU, L. and CHRISTIANI, D. C. (2003). Polymorphisms in the DNA repair genes XRCC1 and ERCC2, smoking, and lung cancer risk. Cancer Epidemiology, Biomarkers and Prevention 12 359-365.