278 related articles for article (PubMed ID: 15587981)
1. Assessment of relative improvement due to weights within generalized estimating equations framework for incomplete clinical trials data.
Demirtas H
J Biopharm Stat; 2004 Nov; 14(4):1085-98. PubMed ID: 15587981
[TBL] [Abstract][Full Text] [Related]
2. An overview of practical approaches for handling missing data in clinical trials.
DeSouza CM; Legedza AT; Sankoh AJ
J Biopharm Stat; 2009 Nov; 19(6):1055-73. PubMed ID: 20183464
[TBL] [Abstract][Full Text] [Related]
3. Doubly robust and multiple-imputation-based generalized estimating equations.
Birhanu T; Molenberghs G; Sotto C; Kenward MG
J Biopharm Stat; 2011 Mar; 21(2):202-25. PubMed ID: 21390997
[TBL] [Abstract][Full Text] [Related]
4. Bayesian analysis of hierarchical pattern-mixture models for clinical trials data with attrition and comparisons to commonly used ad-hoc and model-based approaches.
Demirtas H
J Biopharm Stat; 2005; 15(3):383-402. PubMed ID: 15920887
[TBL] [Abstract][Full Text] [Related]
5. Performance of weighted estimating equations for longitudinal binary data with drop-outs missing at random.
Preisser JS; Lohman KK; Rathouz PJ
Stat Med; 2002 Oct; 21(20):3035-54. PubMed ID: 12369080
[TBL] [Abstract][Full Text] [Related]
6. Comparisons of methods for analysis of repeated binary responses with missing data.
Frank Liu G; Zhan X
J Biopharm Stat; 2011 May; 21(3):371-92. PubMed ID: 21442514
[TBL] [Abstract][Full Text] [Related]
7. Assessing missing data assumptions in longitudinal studies: an example using a smoking cessation trial.
Yang X; Shoptaw S
Drug Alcohol Depend; 2005 Mar; 77(3):213-25. PubMed ID: 15734221
[TBL] [Abstract][Full Text] [Related]
8. Analysis of longitudinal binary data with missing data due to dropouts.
Ali MW; Talukder E
J Biopharm Stat; 2005; 15(6):993-1007. PubMed ID: 16279357
[TBL] [Abstract][Full Text] [Related]
9. MMRM vs. LOCF: a comprehensive comparison based on simulation study and 25 NDA datasets.
Siddiqui O; Hung HM; O'Neill R
J Biopharm Stat; 2009; 19(2):227-46. PubMed ID: 19212876
[TBL] [Abstract][Full Text] [Related]
10. Analysis of incomplete longitudinal binary data using multiple imputation.
Li X; Mehrotra DV; Barnard J
Stat Med; 2006 Jun; 25(12):2107-24. PubMed ID: 16220495
[TBL] [Abstract][Full Text] [Related]
11. Comparison of data analysis strategies for intent-to-treat analysis in pre-test-post-test designs with substantial dropout rates.
Salim A; Mackinnon A; Christensen H; Griffiths K
Psychiatry Res; 2008 Sep; 160(3):335-45. PubMed ID: 18718673
[TBL] [Abstract][Full Text] [Related]
12. A note on the use of unbiased estimating equations to estimate correlation in analysis of longitudinal trials.
Sun W; Shults J; Leonard M
Biom J; 2009 Feb; 51(1):5-18. PubMed ID: 19197953
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. The impact of dichotomization in longitudinal data analysis: a simulation study.
Yoo B
Pharm Stat; 2010; 9(4):298-312. PubMed ID: 19904810
[TBL] [Abstract][Full Text] [Related]
15. Inference methods for saturated models in longitudinal clinical trials with incomplete binary data.
Song JX
Pharm Stat; 2006; 5(4):295-304. PubMed ID: 17128429
[TBL] [Abstract][Full Text] [Related]
16. Handling missing responses in generalized linear mixed model without specifying missing mechanism.
Zhang H; Paik MC
J Biopharm Stat; 2009 Nov; 19(6):1001-17. PubMed ID: 20183461
[TBL] [Abstract][Full Text] [Related]
17. A local influence sensitivity analysis for incomplete longitudinal depression data.
Shen S; Beunckens C; Mallinckrodt C; Molenberghs G
J Biopharm Stat; 2006 May; 16(3):365-84. PubMed ID: 16724491
[TBL] [Abstract][Full Text] [Related]
18. Estimating the effect of multiple imputation on incomplete longitudinal data with application to a randomized clinical study.
Fong DY; Rai SN; Lam KS
J Biopharm Stat; 2013; 23(5):1004-22. PubMed ID: 23957512
[TBL] [Abstract][Full Text] [Related]
19. Analysis of matched case-control data with incomplete strata: applying longitudinal approaches.
Lin IF; Lai MY; Chuang PH
Epidemiology; 2007 Jul; 18(4):446-52. PubMed ID: 17525695
[TBL] [Abstract][Full Text] [Related]
20. Multiple imputation compared with some informative dropout procedures in the estimation and comparison of rates of change in longitudinal clinical trials with dropouts.
Ali MW; Siddiqui O
J Biopharm Stat; 2000 May; 10(2):165-81. PubMed ID: 10803723
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]