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 *

204 related articles for article (PubMed ID: 24019202)

  • 1. Using multiple imputation to estimate cumulative distribution functions in longitudinal data analysis with data missing at random.
    Dinh P
    Pharm Stat; 2013; 12(5):260-7. PubMed ID: 24019202
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Consequences of handling missing data for treatment response in osteoarthritis: a simulation study.
    Olsen IC; Kvien TK; Uhlig T
    Osteoarthritis Cartilage; 2012 Aug; 20(8):822-8. PubMed ID: 22441031
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A structured framework for assessing sensitivity to missing data assumptions in longitudinal clinical trials.
    Mallinckrodt CH; Lin Q; Molenberghs M
    Pharm Stat; 2013; 12(1):1-6. PubMed ID: 23193075
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. Move over LOCF: principled methods for handling missing data in sleep disorder trials.
    Olsen MK; Stechuchak KM; Edinger JD; Ulmer CS; Woolson RF
    Sleep Med; 2012 Feb; 13(2):123-32. PubMed ID: 22172964
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Analysis of longitudinal trials with protocol deviation: a framework for relevant, accessible assumptions, and inference via multiple imputation.
    Carpenter JR; Roger JH; Kenward MG
    J Biopharm Stat; 2013; 23(6):1352-71. PubMed ID: 24138436
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Missing data in longitudinal studies: cross-sectional multiple imputation provides similar estimates to full-information maximum likelihood.
    Ferro MA
    Ann Epidemiol; 2014 Jan; 24(1):75-7. PubMed ID: 24210708
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. On efficiency of constrained longitudinal data analysis versus longitudinal analysis of covariance.
    Lu K
    Biometrics; 2010 Sep; 66(3):891-6. PubMed ID: 19764951
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Multiple imputation: dealing with missing data.
    de Goeij MC; van Diepen M; Jager KJ; Tripepi G; Zoccali C; Dekker FW
    Nephrol Dial Transplant; 2013 Oct; 28(10):2415-20. PubMed ID: 23729490
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fallacies of last observation carried forward analyses.
    Lachin JM
    Clin Trials; 2016 Apr; 13(2):161-8. PubMed ID: 26400875
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

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

  • 18. Handling baselines in repeated measures analyses with missing data at random.
    Dinh P; Yang P
    J Biopharm Stat; 2011 Mar; 21(2):326-41. PubMed ID: 21391005
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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; 24(18):2789-805. PubMed ID: 16134133
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Impact of missing data on type 1 error rates in non-inferiority trials.
    Yoo B
    Pharm Stat; 2010; 9(2):87-99. PubMed ID: 19408241
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.