Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 51

1.
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.

Modelling placebo response in depression trials using a longitudinal model with informative dropout.

Gomeni R, Lavergne A, Merlo-Pich E.

Eur J Pharm Sci. 2009 Jan 31;36(1):4-10. doi: 10.1016/j.ejps.2008.10.025. Epub 2008 Nov 8. Review.

PMID:
19041717
5.

Recommendation for the assessment of tobacco craving and withdrawal in smoking cessation trials.

Shiffman S, West R, Gilbert D; SRNT Work Group on the Assessment of Craving and Withdrawal in Clinical Trials.

Nicotine Tob Res. 2004 Aug;6(4):599-614. Review.

PMID:
15370156
6.

Identifying the types of missingness in quality of life data from clinical trials.

Curran D, Bacchi M, Schmitz SF, Molenberghs G, Sylvester RJ.

Stat Med. 1998 Mar 15-Apr 15;17(5-7):739-56. Review.

PMID:
9549820
7.

Handling drop-out in longitudinal studies.

Hogan JW, Roy J, Korkontzelou C.

Stat Med. 2004 May 15;23(9):1455-97. Review.

PMID:
15116353
8.
9.

Multiple imputation for missing data.

Patrician PA.

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

PMID:
11807922
10.

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
11.

Handling missing data in self-report measures.

Fox-Wasylyshyn SM, El-Masri MM.

Res Nurs Health. 2005 Dec;28(6):488-95. Review.

PMID:
16287052
12.

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
13.

The use of multiple imputation for the analysis of missing data.

Sinharay S, Stern HS, Russell D.

Psychol Methods. 2001 Dec;6(4):317-29. Review.

PMID:
11778675
14.

Longitudinal data analysis (repeated measures) in clinical trials.

Albert PS.

Stat Med. 1999 Jul 15;18(13):1707-32. Review.

PMID:
10407239
15.

Review: a gentle introduction to imputation of missing values.

Donders AR, van der Heijden GJ, Stijnen T, Moons KG.

J Clin Epidemiol. 2006 Oct;59(10):1087-91. Epub 2006 Jul 11. Review.

PMID:
16980149
16.

Handling missing data in nursing research with multiple imputation.

Kneipp SM, McIntosh M.

Nurs Res. 2001 Nov-Dec;50(6):384-9. Review.

PMID:
11725942
17.

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.

18.

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. doi: 10.1016/j.sleep.2011.09.007. Epub 2011 Dec 14. Review.

PMID:
22172964
19.

Multivariate modeling of missing data within and across assessment waves.

Figueredo AJ, McKnight PE, McKnight KM, Sidani S.

Addiction. 2000 Nov;95 Suppl 3:S361-80. Review.

PMID:
11132363
20.

Handling missing data issues in clinical trials for rheumatic diseases.

Wong WK, Boscardin WJ, Postlethwaite AE, Furst DE.

Contemp Clin Trials. 2011 Jan;32(1):1-9. doi: 10.1016/j.cct.2010.09.001. Epub 2010 Sep 16. Review.

PMID:
20840873

Supplemental Content

Support Center