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 *

385 related articles for article (PubMed ID: 19650057)

  • 1. Rounding strategies for multiply imputed binary data.
    Demirtas H
    Biom J; 2009 Aug; 51(4):677-88. PubMed ID: 19650057
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multiple imputation of discrete and continuous data by fully conditional specification.
    van Buuren S
    Stat Methods Med Res; 2007 Jun; 16(3):219-42. PubMed ID: 17621469
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Variable selection under multiple imputation using the bootstrap in a prognostic study.
    Heymans MW; van Buuren S; Knol DL; van Mechelen W; de Vet HC
    BMC Med Res Methodol; 2007 Jul; 7():33. PubMed ID: 17629912
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Missing data on the Center for Epidemiologic Studies Depression Scale: a comparison of 4 imputation techniques.
    Bono C; Ried LD; Kimberlin C; Vogel B
    Res Social Adm Pharm; 2007 Mar; 3(1):1-27. PubMed ID: 17350555
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Dealing with missing data in a multi-question depression scale: a comparison of imputation methods.
    Shrive FM; Stuart H; Quan H; Ghali WA
    BMC Med Res Methodol; 2006 Dec; 6():57. PubMed ID: 17166270
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Multiple-imputation-based residuals and diagnostic plots for joint models of longitudinal and survival outcomes.
    Rizopoulos D; Verbeke G; Molenberghs G
    Biometrics; 2010 Mar; 66(1):20-9. PubMed ID: 19459832
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Principal stratification designs to estimate input data missing due to death.
    Frangakis CE; Rubin DB; An MW; MacKenzie E
    Biometrics; 2007 Sep; 63(3):641-9; discussion 650-62. PubMed ID: 17824995
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Gaussianization-based quasi-imputation and expansion strategies for incomplete correlated binary responses.
    Demirtas H; Hedeker D
    Stat Med; 2007 Feb; 26(4):782-99. PubMed ID: 16596579
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Just-identified versus overidentified two-level hierarchical linear models with missing data.
    Shin Y; Raudenbush SW
    Biometrics; 2007 Dec; 63(4):1262-8. PubMed ID: 17501944
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multiple imputation for missing income data in population-based health surveillance.
    Zeng Z
    J Public Health Manag Pract; 2009; 15(6):E12-21. PubMed ID: 19823145
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An imputation strategy for incomplete longitudinal ordinal data.
    Demirtas H; Hedeker D
    Stat Med; 2008 Sep; 27(20):4086-93. PubMed ID: 18338313
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using the outcome for imputation of missing predictor values was preferred.
    Moons KG; Donders RA; Stijnen T; Harrell FE
    J Clin Epidemiol; 2006 Oct; 59(10):1092-101. PubMed ID: 16980150
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The validity of using multiple imputation for missing out-of-hospital data in a state trauma registry.
    Newgard CD
    Acad Emerg Med; 2006 Mar; 13(3):314-24. PubMed ID: 16495420
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multiple imputation under the generalized lambda distribution.
    Demirtas H
    J Biopharm Stat; 2009; 19(1):77-89. PubMed ID: 19127468
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multiple imputation for missing data: fully conditional specification versus multivariate normal imputation.
    Lee KJ; Carlin JB
    Am J Epidemiol; 2010 Mar; 171(5):624-32. PubMed ID: 20106935
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparison of methods for imputing ordinal data using multivariate normal imputation: a case study of non-linear effects in a large cohort study.
    Lee KJ; Galati JC; Simpson JA; Carlin JB
    Stat Med; 2012 Dec; 31(30):4164-74. PubMed ID: 22826110
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Survival analysis using auxiliary variables via non-parametric multiple imputation.
    Hsu CH; Taylor JM; Murray S; Commenges D
    Stat Med; 2006 Oct; 25(20):3503-17. PubMed ID: 16345047
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Testing for ordered group effects in binary and continuous outcomes.
    Farrell PJ; Park CG
    Biom J; 2007 Aug; 49(4):585-98. PubMed ID: 17634976
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 20.