370 related articles for article (PubMed ID: 11459446)
21. Comparison of imputation and modelling methods in the analysis of a physical activity trial with missing outcomes.
Wood AM; White IR; Hillsdon M; Carpenter J
Int J Epidemiol; 2005 Feb; 34(1):89-99. PubMed ID: 15333619
[TBL] [Abstract][Full Text] [Related]
22. Intent-to-treat analysis for longitudinal studies with drop-outs.
Little R; Yau L
Biometrics; 1996 Dec; 52(4):1324-33. PubMed ID: 8962456
[TBL] [Abstract][Full Text] [Related]
23. Missing data handling in chronic pain trials.
Kim Y
J Biopharm Stat; 2011 Mar; 21(2):311-25. PubMed ID: 21391004
[TBL] [Abstract][Full Text] [Related]
24. Random effects and latent processes approaches for analyzing binary longitudinal data with missingness: a comparison of approaches using opiate clinical trial data.
Albert PS; Follmann DA
Stat Methods Med Res; 2007 Oct; 16(5):417-39. PubMed ID: 17656452
[TBL] [Abstract][Full Text] [Related]
25. Move over LOCF: principled methods for handling missing data in sleep disorder trials.
Olsen MK; Stechuchak KM; Edinger JD; Ulmer CS; Woolson RF
Sleep Med; 2012 Feb; 13(2):123-32. PubMed ID: 22172964
[TBL] [Abstract][Full Text] [Related]
26. Handling baselines in repeated measures analyses with missing data at random.
Dinh P; Yang P
J Biopharm Stat; 2011 Mar; 21(2):326-41. PubMed ID: 21391005
[TBL] [Abstract][Full Text] [Related]
27. On the practical application of mixed effects models for repeated measures to clinical trial data.
Andersen SW; Millen BA
Pharm Stat; 2013; 12(1):7-16. PubMed ID: 23239585
[TBL] [Abstract][Full Text] [Related]
28. Assessment of type I error rate associated with dose-group switching in a longitudinal Alzheimer trial.
Habteab Ghebretinsae A; Molenberghs G; Dmitrienko A; Offen W; Sethuraman G
J Biopharm Stat; 2014; 24(3):660-84. PubMed ID: 24697817
[TBL] [Abstract][Full Text] [Related]
29. A local sensitivity analysis approach to longitudinal non-Gaussian data with non-ignorable dropout.
Xie H
Stat Med; 2008 Jul; 27(16):3155-77. PubMed ID: 17948917
[TBL] [Abstract][Full Text] [Related]
30. The case of the missing data: methods of dealing with dropouts and other research vagaries.
Streiner DL
Can J Psychiatry; 2002 Feb; 47(1):68-75. PubMed ID: 11873711
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. Duloxetine in acute major depression: review of comparisons to placebo and standard antidepressants using dissimilar methods.
Girardi P; Pompili M; Innamorati M; Mancini M; Serafini G; Mazzarini L; Del Casale A; Tatarelli R; Baldessarini RJ
Hum Psychopharmacol; 2009 Apr; 24(3):177-90. PubMed ID: 19229839
[TBL] [Abstract][Full Text] [Related]
33. Analysis of change in the presence of informative censoring: application to a longitudinal clinical trial of progressive renal disease.
Schluchter MD; Greene T; Beck GJ
Stat Med; 2001 Apr; 20(7):989-1007. PubMed ID: 11276031
[TBL] [Abstract][Full Text] [Related]
34. Missing covariates in longitudinal data with informative dropouts: bias analysis and inference.
Roy J; Lin X
Biometrics; 2005 Sep; 61(3):837-46. PubMed ID: 16135036
[TBL] [Abstract][Full Text] [Related]
35. A structured framework for assessing sensitivity to missing data assumptions in longitudinal clinical trials.
Mallinckrodt CH; Lin Q; Molenberghs M
Pharm Stat; 2013; 12(1):1-6. PubMed ID: 23193075
[TBL] [Abstract][Full Text] [Related]
36. A systematic survey of the methods literature on the reporting quality and optimal methods of handling participants with missing outcome data for continuous outcomes in randomized controlled trials.
Zhang Y; Alyass A; Vanniyasingam T; Sadeghirad B; Flórez ID; Pichika SC; Kennedy SA; Abdulkarimova U; Zhang Y; Iljon T; Morgano GP; Colunga Lozano LE; Aloweni FAB; Lopes LC; Yepes-Nuñez JJ; Fei Y; Wang L; Kahale LA; Meyre D; Akl EA; Thabane L; Guyatt GH
J Clin Epidemiol; 2017 Aug; 88():67-80. PubMed ID: 28579378
[TBL] [Abstract][Full Text] [Related]
37. Evaluation of overall treatment effect in MMRM.
Song T; Dong Q; Sankoh AJ; Molenberghs G
J Biopharm Stat; 2013; 23(6):1281-93. PubMed ID: 24138432
[TBL] [Abstract][Full Text] [Related]
38. Assessing learning effects and nonrandom dropout in a contraceptive device trial.
Chen PL
J Biopharm Stat; 2008; 18(2):382-92. PubMed ID: 18327728
[TBL] [Abstract][Full Text] [Related]
39. Accounting for uncertainty due to 'last observation carried forward' outcome imputation in a meta-analysis model.
Dimitrakopoulou V; Efthimiou O; Leucht S; Salanti G
Stat Med; 2015 Feb; 34(5):742-52. PubMed ID: 25492741
[TBL] [Abstract][Full Text] [Related]
40. A hybrid model for nonignorable dropout in longitudinal binary responses.
Wilkins KJ; Fitzmaurice GM
Biometrics; 2006 Mar; 62(1):168-76. PubMed ID: 16542243
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]