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Items: 1 to 20 of 302

1.

Modern statistical methods for handling missing repeated measurements in obesity trial data: beyond LOCF.

Gadbury GL, Coffey CS, Allison DB.

Obes Rev. 2003 Aug;4(3):175-84.

PMID:
12916818
3.
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5.

Last observation carried forward: a crystal ball?

Kenward MG, Molenberghs G.

J Biopharm Stat. 2009 Sep;19(5):872-88. doi: 10.1080/10543400903105406.

PMID:
20183449
6.

Coping with missing data in clinical trials: a model-based approach applied to asthma trials.

Carpenter J, Pocock S, Lamm CJ.

Stat Med. 2002 Apr 30;21(8):1043-66.

PMID:
11933033
7.

Analysis of longitudinal binary data with missing data due to dropouts.

Ali MW, Talukder E.

J Biopharm Stat. 2005;15(6):993-1007.

PMID:
16279357
8.

Assessing and interpreting treatment effects in longitudinal clinical trials with missing data.

Mallinckrodt CH, Sanger TM, Dubé S, DeBrota DJ, Molenberghs G, Carroll RJ, Potter WZ, Tollefson GD.

Biol Psychiatry. 2003 Apr 15;53(8):754-60.

PMID:
12706959
9.

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
10.

A bias correction in testing treatment efficacy under informative dropout in clinical trials.

Kong F, Chen YF, Jin K.

J Biopharm Stat. 2009 Nov;19(6):980-1000. doi: 10.1080/10543400903242753.

PMID:
20183460
11.

Missing data handling in chronic pain trials.

Kim Y.

J Biopharm Stat. 2011 Mar;21(2):311-25. doi: 10.1080/10543406.2011.550112.

PMID:
21391004
12.

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. doi: 10.1080/10543401003687129.

PMID:
21442514
13.

Last-observation-carried-forward imputation method in clinical efficacy trials: review of 352 antidepressant studies.

Woolley SB, Cardoni AA, Goethe JW.

Pharmacotherapy. 2009 Dec;29(12):1408-16. doi: 10.1592/phco.29.12.1408. Review.

PMID:
19947800
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15.

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 30;160(3):335-45. doi: 10.1016/j.psychres.2007.08.005.

PMID:
18718673
16.

Comparison of alternative strategies for analysis of longitudinal trials with dropouts.

Liu G, Gould AL.

J Biopharm Stat. 2002 May;12(2):207-26.

PMID:
12413241
17.

MMRM versus MI in dealing with missing data--a comparison based on 25 NDA data sets.

Siddiqui O.

J Biopharm Stat. 2011 May;21(3):423-36. doi: 10.1080/10543401003777995.

PMID:
21442517
18.

Handling missing quality of life data in HIV clinical trials: what is practical?

Fairclough DL, Thijs H, Huang IC, Finnern HW, Wu AW.

Qual Life Res. 2008 Feb;17(1):61-73.

PMID:
18071926
19.
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