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Items: 1 to 20 of 489

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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
4.

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.

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A latent autoregressive model for longitudinal binary data subject to informative missingness.

Albert PS, Follmann DA, Wang SA, Suh EB.

Biometrics. 2002 Sep;58(3):631-42.

PMID:
12229998
9.

Multiple imputation for model checking: completed-data plots with missing and latent data.

Gelman A, Van Mechelen I, Verbeke G, Heitjan DF, Meulders M.

Biometrics. 2005 Mar;61(1):74-85.

PMID:
15737080
10.

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. Epub 2008 Aug 20.

PMID:
18718673
11.

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
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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. Epub 2004 Aug 27.

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Complete imputation of missing repeated categorical data: one-sample applications.

West CP, Dawson JD.

Stat Med. 2002 Jan 30;21(2):203-17.

PMID:
11782060
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Missing data assumptions and methods in a smoking cessation study.

Barnes SA, Larsen MD, Schroeder D, Hanson A, Decker PA.

Addiction. 2010 Mar;105(3):431-7. doi: 10.1111/j.1360-0443.2009.02809.x.

PMID:
20402986
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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
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A two-stage analysis of repeated measurements with dropouts and/or intermittent missing data.

Overall JE, Tonidandel S.

J Clin Psychol. 2006 Mar;62(3):285-91.

PMID:
16299743
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Propensity score estimation with missing values using a multiple imputation missingness pattern (MIMP) approach.

Qu Y, Lipkovich I.

Stat Med. 2009 Apr 30;28(9):1402-14. doi: 10.1002/sim.3549.

PMID:
19222021
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