Simplicity vs. complexity in the development of risk models for dose-response assessment

Human and Ecological Risk Assessment

Volumn 8, Issue 6, 2002, Pages 1355-1374

  Krewski, D ^a   Brand, K P ^a   Burnett, R T ^b   Zielinski, J M ^b  

^a UNIVERSITY OF OTTAWA   (Canada)

^b Environmental Health Center   (Canada)

Author keywords

Carcinogenicity; Cardiorespiratory health; Developmental toxicity; Dose response modeling; Mutagenicity; Parsimony; Regulatory toxicology; Risk assessment

Indexed keywords

EID: 26844519264     PISSN: 10807039     EISSN: None     Source Type: Journal    
DOI: 10.1080/20028091057402     Document Type: Article

References (53)

1. Abbey DE, Nishino N, McDonnell WF, et al. 1999. Long-term inhalable particles and other air pollutants related to mortality in nonsmokers. Am J Respir Crit Care Med 159:373-82
2. Anderson EL and The Carcinogenic Assessment Group of the US-EPA. 1983. Quantitative approaches in use to assess cancer risk. Risk Anal. 1(4):277-95
3. Bernstein L, Lee FD, McCann J, et al. 1982. An empirical approach to the statistical analysis of mutagenesis data from the Salmonella test. Mutation Res 97:267-81
4. Burnett R, Ma R, Jerrett M, et al. 2001. The spatial association between community air pollution and mortality: A new method of analyzing correlated geographical cohort data. Environ Health Perspect (in press)
5. Catalano PJ and Ryan LM. 1994. Statistical methods in developmental toxicology. In: Patil GP and Rao CR (eds), Handbook of Statistics, vol 12, pp 507-32. North-Holland, Amsterdam, NY, USA
6. Denes J and Krewski D. 1995. An exact representation of the generating function for the Moolgavkar-Venzon-Knudson two-stage model of carcinogenesis with stochastic stem cell growth. Mathematical Biosciences 131:185-204
7. Dewanji A, Goddard MJ, Krewski D, et al. 1999. Two stage model for carcinogenesis: number and size distributions of premalignant clones in longitudinal studies. Mathematical Biosciences 155:1-12
8. Dockery DW, Pope III CA, Xu X, et al. 1993. An association between air pollution and mortality in six U.S. cities. New Engl J Med 329:1753-9
9. Fung KY, Marro L, and Krewski D. 1998. A comparison of methods for estimating the benchmark dose based on overdispersed data from developmental toxicity studies. Risk Anal 18:329-42
10. Gaylor DW and Gold LS. 1998. Regulatory cancer risk assessment based on a quick estimate of a benchmark dose derived from the maximum tolerated dose. Reg Tox Pharm 28:222-5
11. Gaylor DW, Ryan L, Krewski D, et al. 1998. Procedures for calculating benchmark doses for health risk assessment. Reg Tox Pharm 28:150-64
12. Goddard MJ and Krewski D. 1995. The future of mechanistic research in risk assessment: Where are we going and can we get there from here? Toxicology 102:53-70
13. Goddard MJ, Murdoch DJ, and Krewski D. 1995. Temporal aspects of risk characterization. Inhalation Toxicol 7:1005-18
14. IARC (International Agency for Research on Cancer). 1988. Man made Mineral Fibers and Radon. IARC Monographs on the Evaluation of Carcinogenic Risk to Humans, p 1 .43. Lyon, France
15. Kodell RL, Krewski D, and Zielinski JM. 1991. Additive and multiplicative relative risk in the two-stage clonal expansion model of carcinogenesis. Risk Anal 11:483-90
16. Krewski D and Leroux BG. 1993. AMESFIT: A microcomputer program for fitting linear-exponential dose-response models in the Ames Salmonella essay. Environ .Molecular Mutagenesis 22:78-84
17. Krewski D and Zhu Y. 1995. A simple data transformation for estimating benchmark closes in developmental toxicity experiments. Risk Anal 15:29-39
18. Krewski D, Gaylor D, and Szyszkowicz M. 1991. A model-free approach to low-dose extrapolation. Environ Health Perspect 90:279-85
19. Krewski D, Leroux BG, Creason J, et al. 1992. Sources of variation in the mutagenic potency of complex chemical mixtures based on the Salmonella/Microsome assay. Mutation Res 276:33-59
20. Krewski D, Leroux BG, Bleuer SR, et al. 1993. Modeling the Ames Salmonella/Microsome Assay. Biometrics 49(2):499-510
21. Krewski D, Gaylor DW, and Lutz WK. 1995. Additivity to background and linear extrapolation. Low Dose Extrapolation of Cancer Risks: Issues and Perspectives (ed. by Olin S, Farland W, Park C, et al.), pp 105-121. ILSI Press, Washington, DC, USA
22. Krewski D, Zhu Y, and Fung K. 1999a. Benchmark closes for developmental toxicants. Inhalation Toxicol 11:579-91
23. Krewski D, Rai SN, Zielinski JM, et al. 1999b. Characterization of uncertainty and variability in residential radon cancer risks. Ann-N-Y-Acad-Sci. 895:245-72.
24. Krewski D, Burnett RT, Goldberg MS, et al. 2002. Reanalysis of the Harvard Six Cities Study and the American Cancer Society Study of Particulate Air Pollution and Mortality, Part I & II. 129-240. Cambridge, Massachusetts, Health Effects Institute. Reanalysis of the Harvard Six Cities Study and the ACS Study of Particulate Air Pollution and Mortality: A Special Report of the Institute's Particle Epidemiology Reanalysis Project
25. Krewski D, Burnett R, Goldberg MS, et al. 2001. Overview of the re-analysis of the Harvard Sixcities study and American Cancer Society study of particulate air pollution and mortality. J Toxicol Environ Health (in press)
26. Leroux BG and Krewski D. 1993. Components of variation in mutagenic potency values based on the Ames Salmonella test. Canadian J Statistics 21:448-59
27. Lewtas J, Claxton LD, Rosenkranz HS, et al. 1992. Design and implementation of a collaborative study on the mutagenicity of complex mixtures in Salmonella typhimurium. Mutation Res 276:3-9
28. Lubin JH and Boice Jr JD. 1997. Lung cancer risk from residential radon: Meta-Analysis of eight epidemiologic studies. J Natl Cancer Inst 89:49-57
29. Lubin JH, Boice Jr JD, Edling C, et al. 1994. Radon and Lung Cancer Risk: A Joint Analysis of 11 Underground Miners Studies. National Institute of Health, National Cancer Institute. NIH Publication No. 94-3644. U.S. Department of Health and Human Services, Washington, DC, USA
30. Lubin JH, Boice Jr JD, Edling C, et al. 1995. Lung cancer in radon-exposed miners and estimation of risk from indoor exposure. J Natl Cancer Inst 87:817-27
31. Lubin JH, Boice Jr JD, Edling C, et al. 1997. Estimating lung cancer mortality from residential radon using data for low exposures in miners. Radiat Res 147(2):126-34
32. Margolin BH, Kaplan NL, and Zeiger E. 1981. Statistical analysis of the Ames Salmonella/Microsome test. Proc Nat Acad Sci 78:3779-83
33. Miron J. 1984. Spatial autocorrelation in regression analysis: a beginner's guide. In: Gaile GL and Willmott CJ (eds), Spatial Statistics and Models. Reidel Publishing Company, Boston, MA, USA
34. Moolgavkar SH and Luebeck G. 1990. Two-event model for carcinogenesis: Biological, mathematical and statistical considerations. Risk Anal 10:323-41
35. Moolgavkar SH, Luebeck EG, Krewski D, et al. 1993. Radon, cigarette smoke, and lung cancer: A re-analysis of the Colorado uranium miners' data. Epidemiology 4:204-17
36. Moolgavkar SH, Krewski D, Zeise L, et al. 1999. Quantitative Estimation and Prediction of Human Cancer Risks. IARC Scientific Publication No. 131. International Agency for Research on Cancer, Lyon, France
37. NRC (National Research Council). 1980. The Effects on Populations of Exposure to Low Levels of Ionizing Radiation (BEIR III). National Academy Press, Washington, DC, USA
38. NRC (National Research Council). 1983. Risk Assessment in the Federal Government: Managing the process. National Academy Press, Washington, DC, USA
39. NRC (National Research Council). 1988. Health Risks of Radon and other Internally Deposited Alpha-emitters: (BEIR IV). National Academy Press, Washington, DC, USA
40. NRC (National Research Council). 1994. Science and judgement in risk assessment. National Academy Press, Washington, DC, USA
41. NRC (National Research Council). 1999. Health Effects of Exposure to Radon (BEIR VI). National Academy Press, Washington, DC, USA
42. Olin S, Farland W, Park C, et al. 1995. Low-dose extrapolation of cancer risks: Issues and perspectives. Chapters 1-3, ILSI Press, Washington, DC, USA
43. Pope CA, Thun MJ, Namboodiri MM, et al. 1995. Particulate air pollution as a predictor of mortality in a prospective study of US adults. Am J Respir Crit Care Med 151:669-74
44. Rai SN and Krewski D. 1998. Uncertainty and variability analysis in multiplicative risk models. Risk Anal 18:37-45
45. SAS PROC PHREG, SAS/STAT Software: Changes and Enhancements through Release 6.12. 1997. ISBN 1-55544-873-9. SAS Institute Inc., Cary, NC, USA
46. Seilken RL. 1987. Cancer dose-response extrapolations. Environ Sci Tech 21:15-21
47. Tan WY. 1991. Stochastic Models of Carcinogenesis. Marcel Dekker, NY, NY, USA
48. Thun MJ, Day-Lally CA, Calle EE, et al. 1995. Excess mortality among cigarette smokers: Changes in a 20-year interval. Am J Public Health 85:1223-30
49. U.S. Presidential/Congressional Commission on Risk Assessment and Risk Management. 1997. Framework for Environmental Health Risk Management (Volumes 1&2) Presidential/Congressional Commision, Washington, D.C.
50. Ware JH and Stram DO. 1988. Statistical issues in epidemiologic studies of the health effects of ambient air pollution. Can J Statist 16:5-13
51. Zeise L, Wilson R, and Crouch AC. 1987. Dose-response relationships for carcinogenesis: A review. Environ Health Perspect 73:259-308
52. Zheng Q, Lutz WK, and Gaylor DW. 1997. A carcinogenesis model describing mutational events at the DNA adduct level. Mathematical Biosciences 144:23-44
53. Zielinski JM, Krewski D, and Kodell RL. (2001) Interactions between two carcinogens in the two-stage clonal expansion model of carcinogensis. J Epidemiol Biostat. 6(2):219-28