160 related articles for article (PubMed ID: 25774607)
1. Estimating excess hazard ratios and net survival when covariate data are missing: strategies for multiple imputation.
Falcaro M; Nur U; Rachet B; Carpenter JR
Epidemiology; 2015 May; 26(3):421-8. PubMed ID: 25774607
[TBL] [Abstract][Full Text] [Related]
2. Correcting bias due to missing stage data in the non-parametric estimation of stage-specific net survival for colorectal cancer using multiple imputation.
Falcaro M; Carpenter JR
Cancer Epidemiol; 2017 Jun; 48():16-21. PubMed ID: 28315607
[TBL] [Abstract][Full Text] [Related]
3. The performance of multiple imputation for missing covariate data within the context of regression relative survival analysis.
Giorgi R; Belot A; Gaudart J; Launoy G;
Stat Med; 2008 Dec; 27(30):6310-31. PubMed ID: 19021241
[TBL] [Abstract][Full Text] [Related]
4. Comparison of imputation methods for handling missing covariate data when fitting a Cox proportional hazards model: a resampling study.
Marshall A; Altman DG; Holder RL
BMC Med Res Methodol; 2010 Dec; 10():112. PubMed ID: 21194416
[TBL] [Abstract][Full Text] [Related]
5. Comparison of techniques for handling missing covariate data within prognostic modelling studies: a simulation study.
Marshall A; Altman DG; Royston P; Holder RL
BMC Med Res Methodol; 2010 Jan; 10():7. PubMed ID: 20085642
[TBL] [Abstract][Full Text] [Related]
6. Imputing missing covariate values for the Cox model.
White IR; Royston P
Stat Med; 2009 Jul; 28(15):1982-98. PubMed ID: 19452569
[TBL] [Abstract][Full Text] [Related]
7. Non-parametric approach for frequentist multiple imputation in survival analysis with missing covariates.
Takeuchi Y; Ogawa M; Hagiwara Y; Matsuyama Y
Stat Methods Med Res; 2021 Jul; 30(7):1691-1707. PubMed ID: 34110942
[TBL] [Abstract][Full Text] [Related]
8. Multiple imputation methods for handling missing values in a longitudinal categorical variable with restrictions on transitions over time: a simulation study.
De Silva AP; Moreno-Betancur M; De Livera AM; Lee KJ; Simpson JA
BMC Med Res Methodol; 2019 Jan; 19(1):14. PubMed ID: 30630434
[TBL] [Abstract][Full Text] [Related]
9. Propensity score analysis with partially observed covariates: How should multiple imputation be used?
Leyrat C; Seaman SR; White IR; Douglas I; Smeeth L; Kim J; Resche-Rigon M; Carpenter JR; Williamson EJ
Stat Methods Med Res; 2019 Jan; 28(1):3-19. PubMed ID: 28573919
[TBL] [Abstract][Full Text] [Related]
10. A comparison of different methods to handle missing data in the context of propensity score analysis.
Choi J; Dekkers OM; le Cessie S
Eur J Epidemiol; 2019 Jan; 34(1):23-36. PubMed ID: 30341708
[TBL] [Abstract][Full Text] [Related]
11. Outcome-sensitive multiple imputation: a simulation study.
Kontopantelis E; White IR; Sperrin M; Buchan I
BMC Med Res Methodol; 2017 Jan; 17(1):2. PubMed ID: 28068910
[TBL] [Abstract][Full Text] [Related]
12. Cox regression analysis with missing covariates via nonparametric multiple imputation.
Hsu CH; Yu M
Stat Methods Med Res; 2019 Jun; 28(6):1676-1688. PubMed ID: 29717943
[TBL] [Abstract][Full Text] [Related]
13. Missing continuous outcomes under covariate dependent missingness in cluster randomised trials.
Hossain A; Diaz-Ordaz K; Bartlett JW
Stat Methods Med Res; 2017 Jun; 26(3):1543-1562. PubMed ID: 27177885
[TBL] [Abstract][Full Text] [Related]
14. Multiple imputation in Cox regression when there are time-varying effects of covariates.
Keogh RH; Morris TP
Stat Med; 2018 Nov; 37(25):3661-3678. PubMed ID: 30014575
[TBL] [Abstract][Full Text] [Related]
15. Imputation of missing values of tumour stage in population-based cancer registration.
Eisemann N; Waldmann A; Katalinic A
BMC Med Res Methodol; 2011 Sep; 11():129. PubMed ID: 21929796
[TBL] [Abstract][Full Text] [Related]
16. Improving upon the efficiency of complete case analysis when covariates are MNAR.
Bartlett JW; Carpenter JR; Tilling K; Vansteelandt S
Biostatistics; 2014 Oct; 15(4):719-30. PubMed ID: 24907708
[TBL] [Abstract][Full Text] [Related]
17. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
18. Nonlinear multiple imputation for continuous covariate within semiparametric Cox model: application to HIV data in Senegal.
Mbougua JB; Laurent C; Ndoye I; Delaporte E; Gwet H; Molinari N
Stat Med; 2013 Nov; 32(26):4651-65. PubMed ID: 23712767
[TBL] [Abstract][Full Text] [Related]
19. A nonparametric multiple imputation approach for missing categorical data.
Zhou M; He Y; Yu M; Hsu CH
BMC Med Res Methodol; 2017 Jun; 17(1):87. PubMed ID: 28587662
[TBL] [Abstract][Full Text] [Related]
20. Evaluation of multiple imputation approaches for handling missing covariate information in a case-cohort study with a binary outcome.
Middleton M; Nguyen C; Moreno-Betancur M; Carlin JB; Lee KJ
BMC Med Res Methodol; 2022 Apr; 22(1):87. PubMed ID: 35369860
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]