375 related articles for article (PubMed ID: 17629912)
1. 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]
2. Missing data and imputation: a practical illustration in a prognostic study on low back pain.
Vergouw D; Heymans MW; van der Windt DA; Foster NE; Dunn KM; van der Horst HE; de Vet HC
J Manipulative Physiol Ther; 2012 Jul; 35(6):464-71. PubMed ID: 22964020
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. 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]
7. The impact of using different imputation methods for missing quality of life scores on the estimation of the cost-effectiveness of lung-volume-reduction surgery.
Blough DK; Ramsey S; Sullivan SD; Yusen R;
Health Econ; 2009 Jan; 18(1):91-101. PubMed ID: 18435426
[TBL] [Abstract][Full Text] [Related]
8. Multidisciplinary rehabilitation treatment of patients with chronic low back pain: a prognostic model for its outcome.
van der Hulst M; Vollenbroek-Hutten MM; Groothuis-Oudshoorn KG; Hermens HJ
Clin J Pain; 2008 Jun; 24(5):421-30. PubMed ID: 18496307
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Bootstrap model selection had similar performance for selecting authentic and noise variables compared to backward variable elimination: a simulation study.
Austin PC
J Clin Epidemiol; 2008 Oct; 61(10):1009-17.e1. PubMed ID: 18539429
[TBL] [Abstract][Full Text] [Related]
11. Multiple imputation analysis of case-cohort studies.
Marti H; Chavance M
Stat Med; 2011 Jun; 30(13):1595-607. PubMed ID: 21351290
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. A multiple imputation model for imputing missing physiologic data in the national trauma data bank.
Moore L; Hanley JA; Turgeon AF; Lavoie A; Emond M
J Am Coll Surg; 2009 Nov; 209(5):572-9. PubMed ID: 19854396
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. 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]
17. Uncertainty method improved on best-worst case analysis in a binary meta-analysis.
Gamble C; Hollis S
J Clin Epidemiol; 2005 Jun; 58(6):579-88. PubMed ID: 15878471
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Guided multiple imputation of missing data: using a subsample to strengthen the missing-at-random assumption.
Fraser G; Yan R
Epidemiology; 2007 Mar; 18(2):246-52. PubMed ID: 17259903
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]