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Journal Abstract Search

239 related items for PubMed ID: 11506764

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  • 7. 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
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  • 8. 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. PubMed ID: 20183464
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  • 10. Power analyses for longitudinal study designs with missing data.
    Tu XM, Zhang J, Kowalski J, Shults J, Feng C, Sun W, Tang W.
    Stat Med; 2007 Jul 10; 26(15):2958-81. PubMed ID: 17154250
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  • 11. Mixed effects logistic regression models for longitudinal binary response data with informative drop-out.
    Ten Have TR, Kunselman AR, Pulkstenis EP, Landis JR.
    Biometrics; 1998 Mar 10; 54(1):367-83. PubMed ID: 9544529
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  • 16. Methods for the analysis of binary outcome results in the presence of missing data.
    Delucchi KL.
    J Consult Clin Psychol; 1994 Jun 10; 62(3):569-75. PubMed ID: 8063983
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  • 17. Estimating treatment effects from longitudinal clinical trial data with missing values: comparative analyses using different methods.
    Houck PR, Mazumdar S, Koru-Sengul T, Tang G, Mulsant BH, Pollock BG, Reynolds CF.
    Psychiatry Res; 2004 Dec 15; 129(2):209-15. PubMed ID: 15590048
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  • 19. Statistical methods for analysing longitudinal data in delirium studies.
    Adamis D.
    Int Rev Psychiatry; 2009 Feb 15; 21(1):74-85. PubMed ID: 19219714
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