BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

149 related articles for article (PubMed ID: 10474150)

  • 1. Ignorability and bias in clinical trials.
    Heitjan DF
    Stat Med; 1999 Sep 15-30; 18(17-18):2421-34. PubMed ID: 10474150
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Adjusting for drop-out in clinical trials with repeated measures: design and analysis issues.
    Wu MC; Albert PS; Wu BU
    Stat Med; 2001 Jan; 20(1):93-108. PubMed ID: 11135350
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Conditional mixed models adjusting for non-ignorable drop-out with administrative censoring in longitudinal studies.
    Li J; Schluchter MD
    Stat Med; 2004 Nov; 23(22):3489-503. PubMed ID: 15505888
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Marginalized transition models for longitudinal binary data with ignorable and non-ignorable drop-out.
    Kurland BF; Heagerty PJ
    Stat Med; 2004 Sep; 23(17):2673-95. PubMed ID: 15316952
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Bias reduction with an adjustment for participants' intent to dropout of a randomized controlled clinical trial.
    Leon AC; Demirtas H; Hedeker D
    Clin Trials; 2007; 4(5):540-7. PubMed ID: 17942469
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A mixture gatekeeping procedure based on the Hommel test for clinical trial applications.
    Brechenmacher T; Xu J; Dmitrienko A; Tamhane AC
    J Biopharm Stat; 2011 Jul; 21(4):748-67. PubMed ID: 21516567
    [TBL] [Abstract][Full Text] [Related]  

  • 7. On the performance of random-coefficient pattern-mixture models for non-ignorable drop-out.
    Demirtas H; Schafer JL
    Stat Med; 2003 Aug; 22(16):2553-75. PubMed ID: 12898544
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Handling drop-out in longitudinal clinical trials: a comparison of the LOCF and MMRM approaches.
    Lane P
    Pharm Stat; 2008; 7(2):93-106. PubMed ID: 17351897
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A local sensitivity analysis approach to longitudinal non-Gaussian data with non-ignorable dropout.
    Xie H
    Stat Med; 2008 Jul; 27(16):3155-77. PubMed ID: 17948917
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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. PubMed ID: 21442517
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Second-order local sensitivity to non-ignorability in Bayesian inferences.
    Eftekhari Mahabadi S
    Stat Med; 2018 Nov; 37(25):3616-3636. PubMed ID: 29873097
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An imputation method for non-ignorable missing data in studies of blood pressure.
    Cook NR
    Stat Med; 1997 Dec; 16(23):2713-28. PubMed ID: 9421871
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Sources of bias in clinical trials.
    Pandis N
    Am J Orthod Dentofacial Orthop; 2011 Oct; 140(4):595-6. PubMed ID: 21967950
    [No Abstract]   [Full Text] [Related]  

  • 15. The impact of loss to follow-up on hypothesis tests of the treatment effect for several statistical methods in substance abuse clinical trials.
    Hedden SL; Woolson RF; Carter RE; Palesch Y; Upadhyaya HP; Malcolm RJ
    J Subst Abuse Treat; 2009 Jul; 37(1):54-63. PubMed ID: 19008067
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Assessment of relative improvement due to weights within generalized estimating equations framework for incomplete clinical trials data.
    Demirtas H
    J Biopharm Stat; 2004 Nov; 14(4):1085-98. PubMed ID: 15587981
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dropouts and missing data in psychiatric clinical trials.
    Potkin SG; Siu CO
    Am J Psychiatry; 2009 Nov; 166(11):1295; author reply 1295-6. PubMed ID: 19884237
    [No Abstract]   [Full Text] [Related]  

  • 18. Correcting for the bias caused by drop-outs in hypertension trials.
    Murray GD; Findlay JG
    Stat Med; 1988 Sep; 7(9):941-6. PubMed ID: 3175393
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimating the effect of multiple imputation on incomplete longitudinal data with application to a randomized clinical study.
    Fong DY; Rai SN; Lam KS
    J Biopharm Stat; 2013; 23(5):1004-22. PubMed ID: 23957512
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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. PubMed ID: 20183460
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.