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Journal Abstract Search

188 related items for PubMed ID: 16287216

  • 1. ITT analysis of randomized encouragement design studies with missing data.
    Zhou XH, Li SM.
    Stat Med; 2006 Aug 30; 25(16):2737-61. PubMed ID: 16287216
    [Abstract] [Full Text] [Related]

  • 2. Multiple imputation methods for treatment noncompliance and nonresponse in randomized clinical trials.
    Taylor L, Zhou XH.
    Biometrics; 2009 Mar 30; 65(1):88-95. PubMed ID: 18397338
    [Abstract] [Full Text] [Related]

  • 3. An extended general location model for causal inferences from data subject to noncompliance and missing values.
    Peng Y, Little RJ, Raghunathan TE.
    Biometrics; 2004 Sep 30; 60(3):598-607. PubMed ID: 15339281
    [Abstract] [Full Text] [Related]

  • 4. Likelihood methods for treatment noncompliance and subsequent nonresponse in randomized trials.
    O'Malley AJ, Normand SL.
    Biometrics; 2005 Jun 30; 61(2):325-34. PubMed ID: 16011678
    [Abstract] [Full Text] [Related]

  • 5. Estimation and inference for the causal effect of receiving treatment on a multinomial outcome.
    Cheng J.
    Biometrics; 2009 Mar 30; 65(1):96-103. PubMed ID: 18373714
    [Abstract] [Full Text] [Related]

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  • 7. On the design and analysis of randomized clinical trials with multiple endpoints.
    Tang DI, Geller NL, Pocock SJ.
    Biometrics; 1993 Mar 30; 49(1):23-30. PubMed ID: 8513104
    [Abstract] [Full Text] [Related]

  • 8. Model misspecification sensitivity analysis in estimating causal effects of interventions with non-compliance.
    Jo B.
    Stat Med; 2002 Nov 15; 21(21):3161-81. PubMed ID: 12375297
    [Abstract] [Full Text] [Related]

  • 9. Discussion of "Identifiability and estimation of causal effects in randomized trials with noncompliance and completely nonignorable missing data".
    Small DS, Cheng J.
    Biometrics; 2009 Sep 15; 65(3):682-6; discussion 689-91. PubMed ID: 18759846
    [No Abstract] [Full Text] [Related]

  • 10. Bayesian inference for randomized clinical trials with treatment failures.
    Shaffer ML, Chinchilli VM.
    Stat Med; 2004 Apr 30; 23(8):1215-28. PubMed ID: 15083479
    [Abstract] [Full Text] [Related]

  • 11. Identifiability and estimation of causal effects in randomized trials with noncompliance and completely nonignorable missing data.
    Chen H, Geng Z, Zhou XH.
    Biometrics; 2009 Sep 30; 65(3):675-82. PubMed ID: 18759847
    [Abstract] [Full Text] [Related]

  • 12. 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
    [Abstract] [Full Text] [Related]

  • 13. Simple adjustments for randomized trials with nonrandomly missing or censored outcomes arising from informative covariates.
    Baker SG, Fitzmaurice GM, Freedman LS, Kramer BS.
    Biostatistics; 2006 Jan 30; 7(1):29-40. PubMed ID: 15923407
    [Abstract] [Full Text] [Related]

  • 14. Imputation strategies for missing continuous outcomes in cluster randomized trials.
    Taljaard M, Donner A, Klar N.
    Biom J; 2008 Jun 30; 50(3):329-45. PubMed ID: 18537126
    [Abstract] [Full Text] [Related]

  • 15. The intention-to-treat approach in randomized controlled trials: are authors saying what they do and doing what they say?
    Gravel J, Opatrny L, Shapiro S.
    Clin Trials; 2007 Jun 30; 4(4):350-6. PubMed ID: 17848496
    [Abstract] [Full Text] [Related]

  • 16. Sample size determination for constrained longitudinal data analysis.
    Lu K, Mehrotra DV, Liu G.
    Stat Med; 2009 Feb 15; 28(4):679-99. PubMed ID: 19051207
    [Abstract] [Full Text] [Related]

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  • 18. Choosing the analysis population in non-inferiority studies: per protocol or intent-to-treat.
    Matilde Sanchez M, Chen X.
    Stat Med; 2006 Apr 15; 25(7):1169-81. PubMed ID: 16397861
    [Abstract] [Full Text] [Related]

  • 19. Likelihood methods for regression models with expensive variables missing by design.
    Zhao Y, Lawless JF, McLeish DL.
    Biom J; 2009 Feb 15; 51(1):123-36. PubMed ID: 19197954
    [Abstract] [Full Text] [Related]

  • 20. Efficient estimation for patient-specific rates of disease progression using nonnormal linear mixed models.
    Zhang P, Song PX, Qu A, Greene T.
    Biometrics; 2008 Mar 15; 64(1):29-38. PubMed ID: 17501938
    [Abstract] [Full Text] [Related]

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