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 *

162 related articles for article (PubMed ID: 17853425)

  • 21. Imputation strategies for blood pressure data nonignorably missing due to medication use.
    Cook NR
    Clin Trials; 2006; 3(5):411-20. PubMed ID: 17060215
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. Bias due to missing exposure data using complete-case analysis in the proportional hazards regression model.
    Demissie S; LaValley MP; Horton NJ; Glynn RJ; Cupples LA
    Stat Med; 2003 Feb; 22(4):545-57. PubMed ID: 12590413
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Evaluation of overall treatment effect in MMRM.
    Song T; Dong Q; Sankoh AJ; Molenberghs G
    J Biopharm Stat; 2013; 23(6):1281-93. PubMed ID: 24138432
    [TBL] [Abstract][Full Text] [Related]  

  • 25. The use of multiple imputation for the analysis of missing data.
    Sinharay S; Stern HS; Russell D
    Psychol Methods; 2001 Dec; 6(4):317-29. PubMed ID: 11778675
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A closer look at the baseline-observation-carried-forward (BOCF).
    Liu-Seifert H; Zhang S; D'Souza D; Skljarevski V
    Patient Prefer Adherence; 2010 Feb; 4():11-6. PubMed ID: 20165594
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Methods for handling missing data in palliative care research.
    Fielding S; Fayers PM; Loge JH; Jordhøy MS; Kaasa S
    Palliat Med; 2006 Dec; 20(8):791-8. PubMed ID: 17148533
    [TBL] [Abstract][Full Text] [Related]  

  • 28. [Missing data mechanisms of the questionnaire SF-36's items in the SU.VI.MAX study].
    Vercherin P; Gutknecht C; Guillemin F; Ecochard R; Mennen LI; Mercier M
    Rev Epidemiol Sante Publique; 2003 Oct; 51(5):513-25. PubMed ID: 14657798
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Multiple imputation of missing genotype data for unrelated individuals.
    Souverein OW; Zwinderman AH; Tanck MW
    Ann Hum Genet; 2006 May; 70(Pt 3):372-81. PubMed ID: 16674559
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Multiple imputation for national public-use datasets and its possible application for gestational age in United States Natality files.
    Parker JD; Schenker N
    Paediatr Perinat Epidemiol; 2007 Sep; 21 Suppl 2():97-105. PubMed ID: 17803623
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Is using multiple imputation better than complete case analysis for estimating a prevalence (risk) difference in randomized controlled trials when binary outcome observations are missing?
    Mukaka M; White SA; Terlouw DJ; Mwapasa V; Kalilani-Phiri L; Faragher EB
    Trials; 2016 Jul; 17():341. PubMed ID: 27450066
    [TBL] [Abstract][Full Text] [Related]  

  • 32. [Prevention and handling of missing data in clinical trials].
    Jiang ZW; Li CJ; Wang L; Xia JL
    Yao Xue Xue Bao; 2015 Nov; 50(11):1402-7. PubMed ID: 26911032
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Baseline observation carry forward: reasoning, properties, and practical issues.
    Shao J; Jordan DC; Pritchett YL
    J Biopharm Stat; 2009 Jul; 19(4):672-84. PubMed ID: 20183433
    [TBL] [Abstract][Full Text] [Related]  

  • 34. On the practical application of mixed effects models for repeated measures to clinical trial data.
    Andersen SW; Millen BA
    Pharm Stat; 2013; 12(1):7-16. PubMed ID: 23239585
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Comparison of several imputation methods for missing baseline data in propensity scores analysis of binary outcome.
    Crowe BJ; Lipkovich IA; Wang O
    Pharm Stat; 2010; 9(4):269-79. PubMed ID: 19718652
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Use of missing data methods in longitudinal studies: the persistence of bad practices in developmental psychology.
    Jelicić H; Phelps E; Lerner RM
    Dev Psychol; 2009 Jul; 45(4):1195-9. PubMed ID: 19586189
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Imputation of missing values is superior to complete case analysis and the missing-indicator method in multivariable diagnostic research: a clinical example.
    van der Heijden GJ; Donders AR; Stijnen T; Moons KG
    J Clin Epidemiol; 2006 Oct; 59(10):1102-9. PubMed ID: 16980151
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Advanced statistics: missing data in clinical research--part 1: an introduction and conceptual framework.
    Haukoos JS; Newgard CD
    Acad Emerg Med; 2007 Jul; 14(7):662-8. PubMed ID: 17538078
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Missing data mechanisms in a dose-finding adaptive trial.
    Liu K; Entsuah R
    J Biopharm Stat; 2012; 22(2):329-37. PubMed ID: 22251177
    [TBL] [Abstract][Full Text] [Related]  

  • 40. The case of the missing data: methods of dealing with dropouts and other research vagaries.
    Streiner DL
    Can J Psychiatry; 2002 Feb; 47(1):68-75. PubMed ID: 11873711
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.