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.
1155 related articles for article (PubMed ID: 22359267)
1. 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]
2. 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]
3. 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]
4. 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]
5. Model misspecification and bias for inverse probability weighting estimators of average causal effects. Waernbaum I; Pazzagli L Biom J; 2023 Feb; 65(2):e2100118. PubMed ID: 36045099 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. Marginal mean weighting through stratification: a generalized method for evaluating multivalued and multiple treatments with nonexperimental data. Hong G Psychol Methods; 2012 Mar; 17(1):44-60. PubMed ID: 21843003 [TBL] [Abstract][Full Text] [Related]
9. Machine learning outcome regression improves doubly robust estimation of average causal effects. Choi BY; Wang CP; Gelfond J Pharmacoepidemiol Drug Saf; 2020 Sep; 29(9):1120-1133. PubMed ID: 32716126 [TBL] [Abstract][Full Text] [Related]
10. A doubly robust estimator for the attributable benefit of a treatment regime. Brinkley J Stat Med; 2014 Dec; 33(29):5057-73. PubMed ID: 25382146 [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]
13. Impact of outcome model misspecification on regression and doubly-robust inverse probability weighting to estimate causal effect. Lefebvre G; Gustafson P Int J Biostat; 2010; 6(2):Article 15. PubMed ID: 21969999 [TBL] [Abstract][Full Text] [Related]
14. Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation. Gabriel EE; Sachs MC; Martinussen T; Waernbaum I; Goetghebeur E; Vansteelandt S; Sjölander A Stat Med; 2024 Feb; 43(3):534-547. PubMed ID: 38096856 [TBL] [Abstract][Full Text] [Related]
15. Two-stage instrumental variable methods for estimating the causal odds ratio: analysis of bias. Cai B; Small DS; Have TR Stat Med; 2011 Jul; 30(15):1809-24. PubMed ID: 21495062 [TBL] [Abstract][Full Text] [Related]
16. Estimators and confidence intervals for the marginal odds ratio using logistic regression and propensity score stratification. Stampf S; Graf E; Schmoor C; Schumacher M Stat Med; 2010 Mar; 29(7-8):760-9. PubMed ID: 20213703 [TBL] [Abstract][Full Text] [Related]
17. Comparison of the ability of double-robust estimators to correct bias in propensity score matching analysis. A Monte Carlo simulation study. Nguyen TL; Collins GS; Spence J; Devereaux PJ; Daurès JP; Landais P; Le Manach Y Pharmacoepidemiol Drug Saf; 2017 Dec; 26(12):1513-1519. PubMed ID: 28984050 [TBL] [Abstract][Full Text] [Related]
18. Estimating propensity scores with missing covariate data using general location mixture models. Mitra R; Reiter JP Stat Med; 2011 Mar; 30(6):627-41. PubMed ID: 21337358 [TBL] [Abstract][Full Text] [Related]
19. [Propensity score methods for creating covariate balance in observational studies]. Pattanayak CW; Rubin DB; Zell ER Rev Esp Cardiol; 2011 Oct; 64(10):897-903. PubMed ID: 21872981 [TBL] [Abstract][Full Text] [Related]
20. On model selection and model misspecification in causal inference. Vansteelandt S; Bekaert M; Claeskens G Stat Methods Med Res; 2012 Feb; 21(1):7-30. PubMed ID: 21075803 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]