683 related articles for article (PubMed ID: 16401269)
1. Doubly robust estimation in missing data and causal inference models.
Bang H; Robins JM
Biometrics; 2005 Dec; 61(4):962-73. PubMed ID: 16401269
[TBL] [Abstract][Full Text] [Related]
2. Improving causal inference with a doubly robust estimator that combines propensity score stratification and weighting.
Linden A
J Eval Clin Pract; 2017 Aug; 23(4):697-702. PubMed ID: 28116816
[TBL] [Abstract][Full Text] [Related]
3. Data-Adaptive Bias-Reduced Doubly Robust Estimation.
Vermeulen K; Vansteelandt S
Int J Biostat; 2016 May; 12(1):253-82. PubMed ID: 27227724
[TBL] [Abstract][Full Text] [Related]
4. Doubly robust inference for targeted minimum loss-based estimation in randomized trials with missing outcome data.
Díaz I; van der Laan MJ
Stat Med; 2017 Oct; 36(24):3807-3819. PubMed ID: 28744883
[TBL] [Abstract][Full Text] [Related]
5. Model misspecification and robustness in causal inference: comparing matching with doubly robust estimation.
Waernbaum I
Stat Med; 2012 Jul; 31(15):1572-81. PubMed ID: 22359267
[TBL] [Abstract][Full Text] [Related]
6. Double robust estimator of average causal treatment effect for censored medical cost data.
Wang X; Beste LA; Maier MM; Zhou XH
Stat Med; 2016 Aug; 35(18):3101-16. PubMed ID: 26818601
[TBL] [Abstract][Full Text] [Related]
7. An alternative empirical likelihood method in missing response problems and causal inference.
Ren K; Drummond CA; Brewster PS; Haller ST; Tian J; Cooper CJ; Zhang B
Stat Med; 2016 Nov; 35(27):5009-5028. PubMed ID: 27417265
[TBL] [Abstract][Full Text] [Related]
8. Causal inference with missing exposure information: Methods and applications to an obstetric study.
Zhang Z; Liu W; Zhang B; Tang L; Zhang J
Stat Methods Med Res; 2016 Oct; 25(5):2053-2066. PubMed ID: 24318273
[TBL] [Abstract][Full Text] [Related]
9. Doubly robust estimators of causal exposure effects with missing data in the outcome, exposure or a confounder.
Williamson EJ; Forbes A; Wolfe R
Stat Med; 2012 Dec; 31(30):4382-400. PubMed ID: 23086504
[TBL] [Abstract][Full Text] [Related]
10. Doubly Robust Estimation in Observational Studies with Partial Interference.
Liu L; Hudgens MG; Saul B; Clemens JD; Ali M; Emch ME
Stat (Int Stat Inst); 2019; 8(1):. PubMed ID: 31440374
[TBL] [Abstract][Full Text] [Related]
11. Double Robust Efficient Estimators of Longitudinal Treatment Effects: Comparative Performance in Simulations and a Case Study.
Tran L; Yiannoutsos C; Wools-Kaloustian K; Siika A; van der Laan M; Petersen M
Int J Biostat; 2019 Feb; 15(2):. PubMed ID: 30811344
[TBL] [Abstract][Full Text] [Related]
12. Dual imputation model for incomplete longitudinal data.
Jolani S; Frank LE; van Buuren S
Br J Math Stat Psychol; 2014 May; 67(2):197-212. PubMed ID: 23909566
[TBL] [Abstract][Full Text] [Related]
13. Marginal Structural Models with Counterfactual Effect Modifiers.
Zheng W; Luo Z; van der Laan MJ
Int J Biostat; 2018 Jun; 14(1):. PubMed ID: 29883322
[TBL] [Abstract][Full Text] [Related]
14. Multiple robust estimation of marginal structural mean models for unconstrained outcomes.
Babino L; Rotnitzky A; Robins J
Biometrics; 2019 Mar; 75(1):90-99. PubMed ID: 30004573
[TBL] [Abstract][Full Text] [Related]
15. Improved doubly robust estimation when data are monotonely coarsened, with application to longitudinal studies with dropout.
Tsiatis AA; Davidian M; Cao W
Biometrics; 2011 Jun; 67(2):536-45. PubMed ID: 20731640
[TBL] [Abstract][Full Text] [Related]
16. Stratified doubly robust estimators for the average causal effect.
Hattori S; Henmi M
Biometrics; 2014 Jun; 70(2):270-7. PubMed ID: 24571129
[TBL] [Abstract][Full Text] [Related]
17. Causal inference with noisy data: Bias analysis and estimation approaches to simultaneously addressing missingness and misclassification in binary outcomes.
Shu D; Yi GY
Stat Med; 2020 Feb; 39(4):456-468. PubMed ID: 31802532
[TBL] [Abstract][Full Text] [Related]
18. Targeted maximum likelihood estimation in safety analysis.
Lendle SD; Fireman B; van der Laan MJ
J Clin Epidemiol; 2013 Aug; 66(8 Suppl):S91-8. PubMed ID: 23849159
[TBL] [Abstract][Full Text] [Related]
19. Targeted maximum likelihood based causal inference: Part I.
van der Laan MJ
Int J Biostat; 2010; 6(2):Article 2. PubMed ID: 21969992
[TBL] [Abstract][Full Text] [Related]
20. A simple, doubly robust, efficient estimator for survival functions using pseudo observations.
Wang J
Pharm Stat; 2018 Feb; 17(1):38-48. PubMed ID: 29094501
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
