139 related articles for article (PubMed ID: 16135040)
1. Comments about Joint Modeling of Cluster Size and Binary and Continuous Subunit-Specific Outcomes.
Gueorguieva RV
Biometrics; 2005 Sep; 61(3):862-6; discussion 866-7. PubMed ID: 16135040
[TBL] [Abstract][Full Text] [Related]
2. A Bayesian approach for joint modeling of cluster size and subunit-specific outcomes.
Dunson DB; Chen Z; Harry J
Biometrics; 2003 Sep; 59(3):521-30. PubMed ID: 14601753
[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. A high-dimensional joint model for longitudinal outcomes of different nature.
Faes C; Aerts M; Molenberghs G; Geys H; Teuns G; Bijnens L
Stat Med; 2008 Sep; 27(22):4408-27. PubMed ID: 18551509
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Semiparametric Bayesian joint modeling of a binary and continuous outcome with applications in toxicological risk assessment.
Hwang BS; Pennell ML
Stat Med; 2014 Mar; 33(7):1162-75. PubMed ID: 24123309
[TBL] [Abstract][Full Text] [Related]
8. Association models for clustered data with binary and continuous responses.
Lin L; Bandyopadhyay D; Lipsitz SR; Sinha D
Biometrics; 2010 Mar; 66(1):287-93. PubMed ID: 19432772
[TBL] [Abstract][Full Text] [Related]
9. Imputation strategies for missing continuous outcomes in cluster randomized trials.
Taljaard M; Donner A; Klar N
Biom J; 2008 Jun; 50(3):329-45. PubMed ID: 18537126
[TBL] [Abstract][Full Text] [Related]
10. The effect of retrospective sampling on binary regression models for clustered data.
Neuhaus JM; Jewell NP
Biometrics; 1990 Dec; 46(4):977-90. PubMed ID: 2085642
[TBL] [Abstract][Full Text] [Related]
11. Longitudinal and repeated cross-sectional cluster-randomization designs using mixed effects regression for binary outcomes: bias and coverage of frequentist and Bayesian methods.
Localio AR; Berlin JA; Have TR
Stat Med; 2006 Aug; 25(16):2720-36. PubMed ID: 16345043
[TBL] [Abstract][Full Text] [Related]
12. Bayesian analysis of binary prediction tree models for retrospectively sampled outcomes.
Pittman J; Huang E; Nevins J; Wang Q; West M
Biostatistics; 2004 Oct; 5(4):587-601. PubMed ID: 15475421
[TBL] [Abstract][Full Text] [Related]
13. A mixture model with random-effects components for clustering correlated gene-expression profiles.
Ng SK; McLachlan GJ; Wang K; Ben-Tovim Jones L; Ng SW
Bioinformatics; 2006 Jul; 22(14):1745-52. PubMed ID: 16675467
[TBL] [Abstract][Full Text] [Related]
14. Strategies for analyzing multilevel cluster-randomized studies with binary outcomes collected at varying intervals of time.
Olsen MK; DeLong ER; Oddone EZ; Bosworth HB
Stat Med; 2008 Dec; 27(29):6055-71. PubMed ID: 18825655
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. A shared response model for clustered binary data in developmental toxicity studies.
Pang Z; Kuk AY
Biometrics; 2005 Dec; 61(4):1076-84. PubMed ID: 16401281
[TBL] [Abstract][Full Text] [Related]
17. Multivariate methods for clustered binary data with multiple subclasses, with application to binary longitudinal data.
Rosner B
Biometrics; 1992 Sep; 48(3):721-31. PubMed ID: 1420836
[TBL] [Abstract][Full Text] [Related]
18. Bootstrap estimation of benchmark doses and confidence limits with clustered quantal data.
Zhu Y; Wang T; Jelsovsky JZ
Risk Anal; 2007 Apr; 27(2):447-65. PubMed ID: 17511711
[TBL] [Abstract][Full Text] [Related]
19. A case study on the choice, interpretation and checking of multilevel models for longitudinal binary outcomes.
Carlin JB; Wolfe R; Brown CH; Gelman A
Biostatistics; 2001 Dec; 2(4):397-416. PubMed ID: 12933632
[TBL] [Abstract][Full Text] [Related]
20. Hierarchical Bayesian modeling of heterogeneous cluster- and subject-level associations between continuous and binary outcomes in dairy production.
Bello NM; Steibel JP; Tempelman RJ
Biom J; 2012 Mar; 54(2):230-48. PubMed ID: 22522379
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
