These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
154 related articles for article (PubMed ID: 986196)
21. Mixed effects logistic regression models for longitudinal binary response data with informative drop-out. Ten Have TR; Kunselman AR; Pulkstenis EP; Landis JR Biometrics; 1998 Mar; 54(1):367-83. PubMed ID: 9544529 [TBL] [Abstract][Full Text] [Related]
22. Jackknife estimators of variance for parameter estimates from estimating equations with applications to clustered survival data. Lipsitz SR; Dear KB; Zhao L Biometrics; 1994 Sep; 50(3):842-6. PubMed ID: 7981404 [TBL] [Abstract][Full Text] [Related]
23. Random effects probit and logistic regression models for three-level data. Gibbons RD; Hedeker D Biometrics; 1997 Dec; 53(4):1527-37. PubMed ID: 9423267 [TBL] [Abstract][Full Text] [Related]
24. Analysis of embryonic development with a model for under- or overdispersion relative to binomial variation. Engel B; te Brake J Biometrics; 1993 Mar; 49(1):269-79. PubMed ID: 8513109 [TBL] [Abstract][Full Text] [Related]
25. The impact of litter effects on dose-response modeling in teratology. Kupper LL; Portier C; Hogan MD; Yamamoto E Biometrics; 1986 Mar; 42(1):85-98. PubMed ID: 3719065 [TBL] [Abstract][Full Text] [Related]
26. Testing for treatment related trend with partially exchangeable clustered data. George EO; Wu H Biometrics; 1997 Jun; 53(2):479-87. PubMed ID: 9192447 [TBL] [Abstract][Full Text] [Related]
28. Mixture models for continuous data in dose-response studies when some animals are unaffected by treatment. Boos DD; Brownie C Biometrics; 1991 Dec; 47(4):1489-504. PubMed ID: 1786327 [TBL] [Abstract][Full Text] [Related]
29. Estimation efficiency and tests of covariate effects with clustered binary data. Neuhaus JM Biometrics; 1993 Dec; 49(4):989-96. PubMed ID: 8117909 [TBL] [Abstract][Full Text] [Related]
30. On the use of the quasi-likelihood method in teratological experiments. Liang KY; Hanfelt J Biometrics; 1994 Sep; 50(3):872-80. PubMed ID: 7981409 [TBL] [Abstract][Full Text] [Related]
32. Using historical controls in the analysis of developmental toxicity data. Ryan L Biometrics; 1993 Dec; 49(4):1126-35. PubMed ID: 8117906 [TBL] [Abstract][Full Text] [Related]
33. A Bayesian approach to the multiplicity problem for significance testing with binomial data. Meng CY; Dempster AP Biometrics; 1987 Jun; 43(2):301-11. PubMed ID: 3607202 [TBL] [Abstract][Full Text] [Related]
35. Global tests for multiple binary outcomes. Lefkopoulou M; Ryan L Biometrics; 1993 Dec; 49(4):975-88. PubMed ID: 8117908 [TBL] [Abstract][Full Text] [Related]
36. Estimating variance functions in developmental toxicity studies. Bowman D; Chen JJ; George EO Biometrics; 1995 Dec; 51(4):1523-8. PubMed ID: 8589237 [TBL] [Abstract][Full Text] [Related]
37. A gamma model for extra-binomial variation in dilution assays. O'Neill TJ; O'Neill HC Biometrics; 1993 Mar; 49(1):237-42. PubMed ID: 8513105 [TBL] [Abstract][Full Text] [Related]
38. Partial likelihood analysis of within-unit variances in repeated measurement experiments. Chinchilli VM; Esinhart JD; Miller WG Biometrics; 1995 Mar; 51(1):205-16. PubMed ID: 7766775 [TBL] [Abstract][Full Text] [Related]
39. Analysis under Cox's failure time model using weighted least squares. Lubin JH Biometrics; 1980 Jun; 36(2):307-12. PubMed ID: 7407318 [TBL] [Abstract][Full Text] [Related]
40. [Meta-analysis of the Italian studies on short-term effects of air pollution]. Biggeri A; Bellini P; Terracini B; Epidemiol Prev; 2001; 25(2 Suppl):1-71. PubMed ID: 11515188 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]