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Items: 17

1.

Imputation-based strategies for clinical trial longitudinal data with nonignorable missing values.

Yang X, Li J, Shoptaw S.

Stat Med. 2008 Jul 10;27(15):2826-49. doi: 10.1002/sim.3111.

2.

Markov transition models for binary repeated measures with ignorable and nonignorable missing values.

Xiaowei Yang, Shoptaw S, Kun Nie, Juanmei Liu, Belin TR.

Stat Methods Med Res. 2007 Aug;16(4):347-64. Review.

PMID:
17715161
3.

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. doi: 10.1080/10543400903242795. Review.

PMID:
20183464
4.

A review of the handling of missing longitudinal outcome data in clinical trials.

Powney M, Williamson P, Kirkham J, Kolamunnage-Dona R.

Trials. 2014 Jun 19;15:237. doi: 10.1186/1745-6215-15-237. Review.

5.

Including multiple imputation in a sensitivity analysis for clinical trials with treatment failures.

Shaffer ML, Chinchilli VM.

Contemp Clin Trials. 2007 Feb;28(2):130-7. Epub 2006 Jun 28. Review.

PMID:
16877049
6.

Analyzing longitudinal data with missing values.

Enders CK.

Rehabil Psychol. 2011 Nov;56(4):267-88. doi: 10.1037/a0025579. Epub 2011 Oct 3. Review.

PMID:
21967118
7.

Parametric models for incomplete continuous and categorical longitudinal data.

Kenward MG, Molenberghs G.

Stat Methods Med Res. 1999 Mar;8(1):51-83. Review.

PMID:
10347860
8.

Prevention of missing data in clinical research studies.

Wisniewski SR, Leon AC, Otto MW, Trivedi MH.

Biol Psychiatry. 2006 Jun 1;59(11):997-1000. Epub 2006 Mar 29. Review.

PMID:
16566901
9.

Missing data analysis: making it work in the real world.

Graham JW.

Annu Rev Psychol. 2009;60:549-76. doi: 10.1146/annurev.psych.58.110405.085530. Review.

PMID:
18652544
10.

Multiple imputation for missing data.

Patrician PA.

Res Nurs Health. 2002 Feb;25(1):76-84. Review.

PMID:
11807922
11.

Imputation strategies for missing continuous outcomes in cluster randomized trials.

Taljaard M, Donner A, Klar N.

Biom J. 2008 Jun;50(3):329-45. doi: 10.1002/bimj.200710423. Review.

PMID:
18537126
12.

Applications of multiple imputation in medical studies: from AIDS to NHANES.

Barnard J, Meng XL.

Stat Methods Med Res. 1999 Mar;8(1):17-36. Review.

PMID:
10347858
13.

Longitudinal missing data strategies for substance use clinical trials using generalized estimating equations: an example with a buprenorphine trial.

McPherson S, Barbosa-Leiker C, McDonell M, Howell D, Roll J.

Hum Psychopharmacol. 2013 Sep;28(5):506-15. doi: 10.1002/hup.2339. Review.

14.

Introduction to multiple imputation for dealing with missing data.

Lee KJ, Simpson JA.

Respirology. 2014 Feb;19(2):162-7. doi: 10.1111/resp.12226. Epub 2013 Dec 23. Review.

15.

Accommodation of missing data in supportive and palliative care clinical trials.

Kurland BF, Johnson LL, Diehr PH.

Curr Opin Support Palliat Care. 2012 Dec;6(4):465-70. doi: 10.1097/SPC.0b013e328358441d. Review.

PMID:
23042422
16.
17.

Statistics commentary series: commentary #3--last observation carried forward.

Streiner DL.

J Clin Psychopharmacol. 2014 Aug;34(4):423-5. doi: 10.1097/JCP.0000000000000155. Review. No abstract available.

PMID:
24911436
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