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Journal Abstract Search

89 related items for PubMed ID: 7548689

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  • 2. A test of the missing data mechanism for repeated categorical data.
    Park T, Davis CS.
    Biometrics; 1993 Jun; 49(2):631-8. PubMed ID: 8369395
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  • 5. Causal nonresponse models for repeated categorical measurements.
    Conaway MR.
    Biometrics; 1994 Dec; 50(4):1102-16. PubMed ID: 7786991
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  • 6. Pseudo-likelihood methods for longitudinal binary data with non-ignorable missing responses and covariates.
    Parzen M, Lipsitz SR, Fitzmaurice GM, Ibrahim JG, Troxel A.
    Stat Med; 2006 Aug 30; 25(16):2784-96. PubMed ID: 16345018
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  • 8. Random effects and latent processes approaches for analyzing binary longitudinal data with missingness: a comparison of approaches using opiate clinical trial data.
    Albert PS, Follmann DA.
    Stat Methods Med Res; 2007 Oct 30; 16(5):417-39. PubMed ID: 17656452
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  • 13. An application of maximum likelihood and generalized estimating equations to the analysis of ordinal data from a longitudinal study with cases missing at random.
    Kenward MG, Lesaffre E, Molenberghs G.
    Biometrics; 1994 Dec 30; 50(4):945-53. PubMed ID: 7787007
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  • 14. A copula model for repeated measurements with non-ignorable non-monotone missing outcome.
    Shen C, Weissfeld L.
    Stat Med; 2006 Jul 30; 25(14):2427-40. PubMed ID: 16143999
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  • 15. Estimating treatment efficacy over time: a logistic regression model for binary longitudinal outcomes.
    Choi L, Dominici F, Zeger SL, Ouyang P.
    Stat Med; 2005 Sep 30; 24(18):2789-805. PubMed ID: 16134133
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  • 16. On the analysis of mixed longitudinal growth data.
    Huggins RM, Loesch DZ.
    Biometrics; 1998 Jun 30; 54(2):583-95. PubMed ID: 9660630
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  • 18. An alternative parameterization of the general linear mixture model for longitudinal data with non-ignorable drop-outs.
    Fitzmaurice GM, Laird NM, Shneyer L.
    Stat Med; 2001 Apr 15; 20(7):1009-21. PubMed ID: 11276032
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