139 related articles for article (PubMed ID: 15696505)
1. HGLM versus conditional estimators for the analysis of clustered binary data.
Kang W; Lee MS; Lee Y
Stat Med; 2005 Mar; 24(5):741-52. PubMed ID: 15696505
[TBL] [Abstract][Full Text] [Related]
2. Population-averaged and cluster-specific models for clustered ordinal response data.
Ten Have TR; Landis JR; Hartzel J
Stat Med; 1996 Dec; 15(23):2573-88. PubMed ID: 8961464
[TBL] [Abstract][Full Text] [Related]
3. A general approach for two-stage analysis of multilevel clustered non-Gaussian data.
Chervoneva I; Iglewicz B; Hyslop T
Biometrics; 2006 Sep; 62(3):752-9. PubMed ID: 16984317
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. A mixed model-based variance estimator for marginal model analyses of cluster randomized trials.
Braun TM
Biom J; 2007 Jun; 49(3):394-405. PubMed ID: 17623344
[TBL] [Abstract][Full Text] [Related]
6. Marginalized binary mixed-effects models with covariate-dependent random effects and likelihood inference.
Wang Z; Louis TA
Biometrics; 2004 Dec; 60(4):884-91. PubMed ID: 15606408
[TBL] [Abstract][Full Text] [Related]
7. A mixed-effects regression model for three-level ordinal response data.
Raman R; Hedeker D
Stat Med; 2005 Nov; 24(21):3331-45. PubMed ID: 16206246
[TBL] [Abstract][Full Text] [Related]
8. Cluster-crossover design: a method for limiting clusters level effect in community-intervention studies.
Parienti JJ; Kuss O
Contemp Clin Trials; 2007 May; 28(3):316-23. PubMed ID: 17110172
[TBL] [Abstract][Full Text] [Related]
9. Multilevel modelling of clustered grouped survival data using Cox regression model: an application to ART dental restorations.
Wong MC; Lam KF; Lo EC
Stat Med; 2006 Feb; 25(3):447-57. PubMed ID: 16143989
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Regression models for clustered binary responses: implications of ignoring the intracluster correlation in an analysis of perinatal mortality in twin gestations.
Ananth CV; Platt RW; Savitz DA
Ann Epidemiol; 2005 Apr; 15(4):293-301. PubMed ID: 15780777
[TBL] [Abstract][Full Text] [Related]
12. Comparison of statistical methods for analysis of clustered binary observations.
Heo M; Leon AC
Stat Med; 2005 Mar; 24(6):911-23. PubMed ID: 15558576
[TBL] [Abstract][Full Text] [Related]
13. Meta-analysis combining parallel and cross-over clinical trials. II: Binary outcomes.
Curtin F; Elbourne D; Altman DG
Stat Med; 2002 Aug; 21(15):2145-59. PubMed ID: 12210630
[TBL] [Abstract][Full Text] [Related]
14. Weighted nonparametric maximum likelihood estimate of a mixing distribution in nonrandomized clinical trials.
Liu C; Xie J; Zhang Y
Stat Med; 2007 Dec; 26(29):5303-19. PubMed ID: 17497612
[TBL] [Abstract][Full Text] [Related]
15. Efficient estimation of log-normal means with application to pharmacokinetic data.
Shen H; Brown LD; Zhi H
Stat Med; 2006 Sep; 25(17):3023-38. PubMed ID: 16345103
[TBL] [Abstract][Full Text] [Related]
16. Generalization of the Mantel-Haenszel estimating function for sparse clustered binary data.
Wang M; Williamson JM
Biometrics; 2005 Dec; 61(4):973-81. PubMed ID: 16401270
[TBL] [Abstract][Full Text] [Related]
17. Analysis of clustered and interval censored data from a community-based study in asthma.
Bellamy SL; Li Y; Ryan LM; Lipsitz S; Canner MJ; Wright R
Stat Med; 2004 Dec; 23(23):3607-21. PubMed ID: 15534894
[TBL] [Abstract][Full Text] [Related]
18. Comment on Lu, et. al. 2004: Analyzing excessive no changes in clinical trials with clustered data.
Albert PS
Biometrics; 2005 Sep; 61(3):879-80; author reply 880-1. PubMed ID: 16135045
[No Abstract] [Full Text] [Related]
19. A hierarchical Binomial-Poisson model for the analysis of a crossover design for correlated binary data when the number of trials is dose-dependent.
Shkedy Z; Molenberghs G; Van Craenendonck H; Steckler T; Bijnens L
J Biopharm Stat; 2005; 15(2):225-39. PubMed ID: 15796291
[TBL] [Abstract][Full Text] [Related]
20. Using bivariate models to understand between- and within-cluster regression coefficients, with application to twin data.
Gurrin LC; Carlin JB; Sterne JA; Dite GS; Hopper JL
Biometrics; 2006 Sep; 62(3):745-51. PubMed ID: 16984316
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]