These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

122 related articles for article (PubMed ID: 11304736)

  • 1. Partial imputation approach to analysis of repeated measurements with dependent drop-outs.
    Wei L; Shih WJ
    Stat Med; 2001 Apr; 20(8):1197-214. PubMed ID: 11304736
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparisons of methods for analysis of repeated binary responses with missing data.
    Frank Liu G; Zhan X
    J Biopharm Stat; 2011 May; 21(3):371-92. PubMed ID: 21442514
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Accounting for dropout bias using mixed-effects models.
    Mallinckrodt CH; Clark WS; David SR
    J Biopharm Stat; 2001; 11(1-2):9-21. PubMed ID: 11459446
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Intent-to-treat analysis for longitudinal studies with drop-outs.
    Little R; Yau L
    Biometrics; 1996 Dec; 52(4):1324-33. PubMed ID: 8962456
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Missing data in randomized controlled trials of rheumatoid arthritis with radiographic outcomes: a simulation study.
    Baron G; Ravaud P; Samson A; Giraudeau B
    Arthritis Rheum; 2008 Jan; 59(1):25-31. PubMed ID: 18163406
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Examining the influence of drop-outs in a follow-up of maintained opiate users.
    Encrenaz G; Rondeau V; Messiah A; Auriacombe M
    Drug Alcohol Depend; 2005 Sep; 79(3):303-10. PubMed ID: 16102374
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Modeling drop-outs in amyotrophic lateral sclerosis.
    Messina P; Beghi E
    Contemp Clin Trials; 2012 Jan; 33(1):218-22. PubMed ID: 21996525
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Accounting for uncertainty due to 'last observation carried forward' outcome imputation in a meta-analysis model.
    Dimitrakopoulou V; Efthimiou O; Leucht S; Salanti G
    Stat Med; 2015 Feb; 34(5):742-52. PubMed ID: 25492741
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Marginal analysis of incomplete longitudinal binary data: a cautionary note on LOCF imputation.
    Cook RJ; Zeng L; Yi GY
    Biometrics; 2004 Sep; 60(3):820-8. PubMed ID: 15339307
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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; 160(3):335-45. PubMed ID: 18718673
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Visit-driven endpoints in randomized HIV/AIDS clinical trials: impact of missing data on treatment difference measured on summary statistics.
    Le Corfec E; Chevret S; Costagliola D
    Stat Med; 1999 Jul; 18(14):1803-17; discussion 1819. PubMed ID: 10407251
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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. PubMed ID: 15333619
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Intent-to-treat analysis for longitudinal clinical trials: coping with the challenge of missing values.
    Mazumdar S; Liu KS; Houck PR; Reynolds CF
    J Psychiatr Res; 1999; 33(2):87-95. PubMed ID: 10221740
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Missing data imputation in two phase III trials treating HIV1 infection.
    Huson LW; Chung J; Salgo M
    J Biopharm Stat; 2007; 17(1):159-72. PubMed ID: 17219761
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A systematic review finds variable use of the intention-to-treat principle in musculoskeletal randomized controlled trials with missing data.
    Joseph R; Sim J; Ogollah R; Lewis M
    J Clin Epidemiol; 2015 Jan; 68(1):15-24. PubMed ID: 25304501
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Propensity score estimation with missing values using a multiple imputation missingness pattern (MIMP) approach.
    Qu Y; Lipkovich I
    Stat Med; 2009 Apr; 28(9):1402-14. PubMed ID: 19222021
    [TBL] [Abstract][Full Text] [Related]  

  • 19. On model selections for repeated measurement data in clinical studies.
    Zou B; Jin B; Koch GG; Zhou H; Borst SE; Menon S; Shuster JJ
    Stat Med; 2015 May; 34(10):1621-33. PubMed ID: 25645442
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Direct likelihood analysis versus simple forms of imputation for missing data in randomized clinical trials.
    Beunckens C; Molenberghs G; Kenward MG
    Clin Trials; 2005; 2(5):379-86. PubMed ID: 16315646
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.