Likelihood models for clustered binary and continuous outcomes: Application to developmental toxicology

Biometrics

Volumn 55, Issue 3, 1999, Pages 760-768

  Regan, Meredith M ^a   Catalano, Paul J ^b  

^a BETH ISRAEL DEACONESS MEDICAL CENTER   (United States)

^b DANA FARBER CANCER INSTITUTE   (United States)

Author keywords

Dose response modeling; Exchangeability; Maximum likelihood; Probit model; Risk assessment

Indexed keywords

MAXIMUM LIKELIHOOD; RISK PERCEPTION;

% REDUCTIONS; CLUSTERINGS; DOSE-RESPONSE MODELS; EXCHANGEABILITY; MA XIMUM LIKELIHOODS; MAXIMUM-LIKELIHOOD; MODELING RISK; PROBIT MODELS; QUANTITATIVE RISK ASSESSMENT; RISKS ASSESSMENTS;

RISK ASSESSMENT;

ARTICLE; DOSE RESPONSE; FETOTOXICITY; FETUS MALFORMATION; LOW BIRTH WEIGHT; MAXIMUM LIKELIHOOD METHOD; RISK ASSESSMENT; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 0032887429     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.1999.00760.x     Document Type: Article

References (18)

1. Ahn, H. and Chen, J. J. (1997). Tree-structured logistic model for over-dispersed binomial data with application to modeling developmental effects. Biometrics 53, 435-455.
2. Catalano, P. J. and Ryan, L. M. (1992). Bivariate latent variable models for clustered discrete and continuous outcomes. Journal of the American Statistical Association 87, 651-658.
3. Catalano, P., Ryan, L., and Scharfstein, D. (1994). Modeling fetal death and malformation in developmental toxicity. Risk Analysis 14, 611-619.
4. Catalano, P. J., Scharfstein, D. O., Ryan, L. M., Kimmel, C. A., and Kimmel, G. L. (1993). Statistical model for fetal death, fetal weight, and malformation in developmental toxicity studies. Teratology 47, 281-290.
5. Chen, J. (1993). A malformation incidence dose-response model incorporating fetal weight and/or litter size as co-variates. Risk Analysis 13, 559-564.
6. Chen, J. J. and Gaylor, D. W. (1992). Correlations of developmental end points observed after 2,4,5-trichlorophenoxyacetic acid exposure in mice. Teratology 45, 241-246.
7. Cox, D. R. and Wermuth, N. (1992). Response models for mixed binary and quantitative variables. Biometrika 79, 441-461.
8. Crump, K. S. (1984). A new method for determining allowable daily intakes. Fundamental and Applied Toxicology 4, 854-871.
9. Crump, K. S. (1995). Calculation of benchmark doses from continuous data. Risk Analysis 15, 79-89.
10. 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.
11. Kimmel, C. A. and Gaylor, D. W. (1988). Issues in qualitative and quantitative risk analysis for developmental toxicology. Risk Analysis 8, 15-20.
12. Kodell, R. L. and West, R. W. (1993). Upper confidence limits on excess risk for quantitative responses. Risk Analysis 13, 177-182.
13. Krzanowski, W. J. (1988). Principles of Multivariate Analysis: A User's Perspective. Oxford: Clarendon Press.
14. Mendell, N. R. and Elston, R. C. (1974). Multifactorial qualitative traits: Genetic analysis and prediction of recurrence risks. Biometrics 30, 41-57.
15. Ochi, Y. and Prentice, R. L. (1984). Likelihood inference in a correlated probit regression model. Biometrika 71, 531-543.
16. Press, W. H., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P. (1992). Numerical Recipes in C: The Art of Scientific Computing, 2nd edition. Cambridge, U.K.: Cambridge University Press.
17. Price, C. J., Kimmel, C. A., Tyl, R. W., and Marr, M. C. (1985). The developmental toxicity of ethylene glycol in rats and mice. Toxicology and Applied Pharmacology 81, 113-127.
18. Ryan, L. M., Catalano, P. J., Kimmel, C. A., and Kimmel, G. L. (1991). Relationship between fetal weight and malformation in developmental toxicity studies. Teratology 44, 215-223.