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 *

161 related articles for article (PubMed ID: 20183457)

  • 1. Addressing and advancing the problem of missing data.
    Walton MK
    J Biopharm Stat; 2009 Nov; 19(6):945-56. PubMed ID: 20183457
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. Assessing missing data assumptions in longitudinal studies: an example using a smoking cessation trial.
    Yang X; Shoptaw S
    Drug Alcohol Depend; 2005 Mar; 77(3):213-25. PubMed ID: 15734221
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multiple imputation techniques in small sample clinical trials.
    Barnes SA; Lindborg SR; Seaman JW
    Stat Med; 2006 Jan; 25(2):233-45. PubMed ID: 16220515
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Missing data: an introductory conceptual overview for the novice researcher.
    El-Masri MM; Fox-Wasylyshyn SM
    Can J Nurs Res; 2005 Dec; 37(4):156-71. PubMed ID: 16541824
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Methods for addressing missing data in psychiatric and developmental research.
    Croy CD; Novins DK
    J Am Acad Child Adolesc Psychiatry; 2005 Dec; 44(12):1230-40. PubMed ID: 16292114
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. How can I deal with missing data in my study?
    Bennett DA
    Aust N Z J Public Health; 2001 Oct; 25(5):464-9. PubMed ID: 11688629
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Selection bias found in interpreting analyses with missing data for the prehospital index for trauma.
    Joseph L; Bélisle P; Tamim H; Sampalis JS
    J Clin Epidemiol; 2004 Feb; 57(2):147-53. PubMed ID: 15125624
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Missing data assumptions and methods in a smoking cessation study.
    Barnes SA; Larsen MD; Schroeder D; Hanson A; Decker PA
    Addiction; 2010 Mar; 105(3):431-7. PubMed ID: 20402986
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. [Roaming through methodology. XVI. What to do about missing data].
    Stijnen T; Arends LR
    Ned Tijdschr Geneeskd; 1999 Oct; 143(40):1996-2000. PubMed ID: 10535056
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multiple imputation compared with some informative dropout procedures in the estimation and comparison of rates of change in longitudinal clinical trials with dropouts.
    Ali MW; Siddiqui O
    J Biopharm Stat; 2000 May; 10(2):165-81. PubMed ID: 10803723
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparison of methods of handling missing data in individual patient data meta-analyses: an empirical example on antibiotics in children with acute otitis media.
    Koopman L; van der Heijden GJ; Grobbee DE; Rovers MM
    Am J Epidemiol; 2008 Mar; 167(5):540-5. PubMed ID: 18184640
    [TBL] [Abstract][Full Text] [Related]  

  • 19. DNA microarray data imputation and significance analysis of differential expression.
    Jörnsten R; Wang HY; Welsh WJ; Ouyang M
    Bioinformatics; 2005 Nov; 21(22):4155-61. PubMed ID: 16118262
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.