Statistical Issues in Toxicology

Journal of the American Statistical Association

Volumn 95, Issue 449, 2000, Pages 304-308

  Ryan, Louise M ^a  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0442309502     PISSN: 01621459     EISSN: 1537274X     Source Type: Journal    
DOI: 10.1080/01621459.2000.10473929     Document Type: Article

References (40)

1. Berkson, J. (1944). "Application of the Logistic Function to Bioassay," Journal of the American Statistical Association, 39, 357-365.
2. Bctensky, R. A., Lindsey, J. C., Ryan, L. M., and Wand, M. P. (1999), "Local EM Estimation of the Hazard Function for Interval-Censored Data," Biometrics, 55, 238-245.
3. Blackwell, B., and Catalano, P. J. (1999), “A Random Effects Latent Variable Model for Multivariate Ordinal Data,” to appear.
4. Bliss, C. I. (1934), ‘The Method of Probits.” Science, 79. 38-39.
5. Carson, R. (1962). The Silent Spring, New York: Houghton Mifflin.
6. Catalano, P. J., and Ryan, L. (1992), "Bivariate Latent Variable Models for Clustered Discrete and Continuous Outcomes," Journal of the American Statistical Association, 87. 651-658.
7. Chen, J. J., Kodcll, R. L., Howe, R. B., and Gaylor, D. W. (1991), “Analysis of Trinomial Responses from Reproductive and Developmental Toxicity Experiments," Biometrics, 47, 1049-1058.
8. Cox, D. R., and Wermuth, N. (1996), Multivariate Dependencies: Models, Analysis and Interpretation, London: Chapman and Hall.
9. Crump, K. S. (1984), “A New Methods for Determining Allowable Daily Intakes," Fundamental And Applied Toxicology, 4, 854-871.
10. Dinsc, G. E. (1991), “Constant Risk Differences in the Analysis of Animal Tumorigenicity Data,” Biometrics, 47, 681-700.
11. Finney, D. J. (1995). "The Meaning of Bioassay," Biometrics. 21. 785-798.
12. Fitzmaurice, G. M., and Laird, N. M. (1995), "Regression Models for a Bivariate Discrete and Continuous Outcome with Clustering," Journal of the American Statistical Association, 90, 845-852.
13. Fung, K. Y., Krewski, D., and Smythe, R. T. (1996), “A Comparison of Tests for Trend with Historical Controls in Carcinogen Bioassay," The Canadian Journal of Statistics, 24, 431-454.
14. Haseman, J. K. (1984), "Statistical Issues in the Design, Analysis, and Interpretation of Animal Carcinogenicity Studies,” Environmental Health Perspectives, 58, 385-392.
15. Haseman, J. K., Huff, J., and Boorman, G. A. (1984), “Use of Historical Control Data in Carcinogenicity Studies in Rodents,” Toxicologic Pathology, 12, 126-135.
16. Hoel, D. G., and Walburg, H. E. (1972), “Statistical Analysis of Survival Experiments,” Journal of the National Cancer Institute, 49, 361-372.
17. Ibrahim, J. G., Ryan, L. M., and Chen, M. H. (1998), “Using Historical Controls to Adjust for Covariates in Trend Tests for Binary Data,” Journal of the American Statistical Association, 93, 1282-1293.
18. Keiding, N., Begtrup, K., Scheike, T. H., and Hasibeder, G. (1996), “Estimation from Current-Status Data in Continuous Time,” Lifetime Data Analysis, 2, 119-129.
19. Kodell, R. L., and Nelson, C. J. (1980), "An Illness-Death Model for the Study of the Carcinogenic Process Using Survival/Sacrifice Data ” Biometrics, 36, 267-277. Corr: 37, 875.
20. Kooperberg, C., and Stone, C. J. (1992), “Logspline Density Estimation for Censored Data,” Journal of Computational and Graphical Statistics, 1, 301-328.
21. Krewski, D., and Brown, C. (1981), “Carcinogenic Risk Assessment: A Guide to the Literature,” Biometrics, 37, 353-366.
22. Kupper, L. L., Portier, C., Hogan, M. D., and Yamamoto, E. (1986). ‘The Impact of Litter Effects on Dose-Response Modeling in Teratology (C/R: V44 p 305-309).” Biometrics, 42, 85-98.
23. Lefkopoulou, M., Moore, D., and Ryan, L. (1989), “The Analysis of Multiple Correlated Binary Outcomes: Application to Rodent Teratology Experiments,” Journal of the American Statistical Association, 84, 810-815.
24. Liang, K. Y. and Zeger, S. L. (1986). "Longitudinal Data Analysis Using Generalized Linear Models.” Biometrika, 73. 13-22.
25. Lindsey, J. C., and Ryan, L. M. (1993), “A Three-State Multiplicative Model for Rodent Tumorigenicity Experiments.” Applied Statistics, 42. 283-300.
26. Liu, C. and Rubin, D. R. (1998), "Ellipsoidally Symmetric Extensions of the General Location Model for Mixed Categorical and Continuous Data.” Biometrika, 85, 673-688.
27. Lu, F. C. (1996). “Basic Toxicology,” Taylor and Francis.
28. McKnight, B., and Crowley, J. (1984), “Tests for Differences in Tumor Incidence Based on Animal Carcinogenesis Experiments.” Journal of the American Statistical Association, 79, 639-648.
29. Moolgavkar, S. H., Leubeck, E. G., de Gunst, M., Port, R. E., and Schwetz, M. (1990). "Quantitative Analysis of Enzyme-Altered Foci in Rat Hep-atocarcinogenesis Experiments 1: Single Agent Regimen.” Carcinogenesis, 11, 1271-1278.
30. Peto, R. (1974). “Guidelines on the Analysis of Tumor Rates and Death Rates in Experimental Animals.” British Journal of Cancer, 29, 101-105.
31. Piegorsch, W. W., and Bailer, A. J. (1997), Statistics for Environmental Biology and Toxicology, Boca Raton. FL: Chapman & Hall.
32. Portier, C. J., and Bailer, A. J. (1989), ‘Testing for Increased Carcinogenicity Using a Survival-Adjusted Quantal Response Test.” Fundamental and Applied Toxicology, 12, 731-737.
33. Regan, M., and Catalano, P. J. (1999), “Likelihood Models for Clustered Binary and Continuous Outcomes: Application to Developmental Toxicology.” Biometrics, 55, 760-768.
34. Seilkop, S. K. (1995), ‘The Effect of Body Weight on Tumor Incidence and Carcinogenicity Testing in B6C3F1 Mice and F344 Rats,” Fundamental and Applied Toxicology, 24, 247-259.
35. United States Environmental Protection Agency (1995), “Proposed Guidelines for Neurotoxicity Testing,” Federal Register, 60, 52032-52036.
36. Waterman, M. (1998), Introduction to Computational Biology: Maps, Sequences. and Genomes, Chapman & Hall.
37. Westfall, P. H., and Young, S. S. (1993), “On Adjusting p-values for Multiplicity (Disc: p944-945),” Biometrics, 49, 941-944.
38. Williams, D. A. (1975). ‘The Analysis of Binary Responses from Toxico-logical Experiments Involving Reproduction and Teratogenicity,” Biometrics, 31, 949-952.
39. Williams, D. A. (1982), “Extra-Binomial Variation in Logistic Linear Models,” Applied Statistics, 31,144-148.
40. World Health Organization (1962), Sixth Report of the Joint FAD/WHO Expert Committee on Food Additives, Geneva: WHO.