Statistical analysis for developmental and reproductive toxicologists

Developmental and Reproductive Toxicology: A Practical Approach

Volumn , Issue , 2005, Pages 697-711

  Chen, James J ^a  

^a CENTER FOR DRUG EVALUATION AND RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85123815413     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (38)

1. Desu, M.M. and Raghavarao, D., Sample Size Methodology, Academic Press, New York, 1990.
2. Winer, B.J., Brown, D.R., and Michels, K.M., Statistical Principles in Experimental Design, 3rd ed., McGraw-Hill, New York, 1991.
3. Hamilton, L.C., Regression with Graphics: A Second Course in Applied Statistics, Duxbury Press, Belmont, CA, 1991.
4. SAS Institute Inc., Procedures Guide, Version 8, Cary, NC, 1999.
5. Dunnett, C.W., A multiple comparison procedure for comparing several treatments with a control, J. Amer. Stat. Assoc., 50, 1096, 1955.
6. Williams, D.A., The comparison of several dose levels with a zero dose control, Biometrics, 28, 519, 1972.
7. Tukey, J.W., Ciminera, J.L., and Heyse, J.F., Testing the statistical certainty of a response to increasing doses of a drug, Biometrics, 41, 295, 1985.
8. Barlow, R.E., et al., Statistical Inference Under Order Restrictions, John Wiley, New York, 1972.
9. Lehmann, E.L., Nonparametrics: Statistical Methods Based on Ranks, Holden-Day, San Francisco, 1975.
10. Dempster, A.P., et al., Statistical and computational aspects of mixed model analysis, Appl. Stat., 33, 203, 1984.
11. SAS Institute Inc., SAS/STAT User's Guide, Version 8, Cary, NC, 1999.
12. Liang, K.Y. and Zeger, S.L., Longitudinal data analysis using generalized linear models, Biometrika, 73, 13, 1986.
13. Carey, V. and McDermott, A., gee() function, StatLib Archives, Carnegie Mellon University, Pittsburgh, PA. (S-PLUS function obtainable via anonymous FTP from lib.stat.cmu.edu., 1996.)
14. 2 tests, Biometrics, 10, 417, 1954.
15. Armitage, P., Tests for linear trends in proportions and frequencies, Biometrics, 11, 375, 1955.
16. StatXact, Cytel Software Corporation, Cambridge, MA, 1992.
17. Jonckheere, A.R., A distribution-free k-sample test against ordered alternatives, Biometrika, 41, 133, 1954.
18. Williams, D.A., The analysis of binary responses from toxicological experiments involving reproduction and teratogenicity, Biometrics, 31, 949, 1975.
19. Williams, D.A., Extra-binomial variation in logistic linear models, Appl. Stat., 31, 144, 1982.
20. Chen, J.J., Trend test for overdispersed proportions, Biometrical J., 35, 949, 1993.
21. Chen, J.J., Ahn, H., and Cheng, K.F., Comparison of some homogeneity tests in analysis of over-dispersed binomial data, Environ. Ecolo. Stat., 1, 315, 1996.
22. Lawless, J.F., Negative binomial and mixed Poisson regression. Canadian J. Stat., 15, 209, 1987.
23. Breslow, N.E., Extra-Poisson variation in log-linear model, Appl. Stat., 33, 38, 1984.
24. Chen, J.J. and Ahn, H., Fitting mixed Poisson regression models using quasi-likelihood methods, Biometrical J., 38, 81, 1996.
25. Munro, I. and Krewski, D., Risk assessment and regulatory decision making, Food Cosmet. Toxicol., 19, 549. 1981.
26. Kimmel, C.A. and Gaylor, D.W., Issues in qualitative and quantitative risk analysis for developmental toxicology, Risk Analysis, 8, 15, 1988.
27. Crump, K.S., A new method for determining allowable daily intakes, Fundam. Appl. Toxicol., 854, 1984.
28. Krewski, D. and Van Ryzin, J., Dose response models for quantal response toxicity data, in Statistics and Related Topics, George, M., Dawaon, D., Rao, J.N.K., and Saleh, E., Eds., North-Holland, Amsterdam, 1981, p. 201.
29. U.S. Environmental Protection Agency, Proposed Guidelines for Carcinogen Risk Assessment: Notice, Fed. Regist., 56, 17995, 1996.
30. Gaylor, D.W., et al., A unified approach to risk assessment for cancer and noncancer endpoints based on benchmark doses and uncertainty/safety factors, Regulat. Toxicol. Pharmacol., 29, 151, 1999.
31. Chen, J.J. and Kodell, R.L., Quantitative risk assessment for teratological effects, J. Am. Stat. Assoc., 84, 966, 1989.
32. ICF/Clement, TOX_RISK, Ruston, LA. 1989.
33. ToxTools, Cytel Software Corporation, Cambridge, MA, 1999.
34. Lefkopoulou M, Moore D., and Ryan L.M., The analysis of multiple correlated binary outcomes: application to rodent teratology experiments, J Am. Stat. Assoc., 84, 810, 1989.
35. Chen, J.J., et al., Analysis of trinomial responses from reproductive and developmental toxicity experiments, Biometrics, 41, 47, 1991.
36. Catalano, P.J. and Ryan, L.M., Bivariate latent variable models for clustered discrete and continuous outcomes, J. Am. Stat. Assoc., 87, 651, 1992.
37. Ryan, L.M., Quantitative risk assessment for developmental toxicity, Biometrics, 48, 163, 1992.
38. Chen, J.J., A malformation incidence dose response model incorporating fetal weight and/or litter size as covariates, Risk Anal., 13, 559, 1993.