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Items: 1 to 20 of 109

1.

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). pii: e214. doi: 10.1002/sta4.214. Epub 2019 Jan 10.

PMID:
31440374
2.

On inverse probability-weighted estimators in the presence of interference.

Liu L, Hudgens MG, Becker-Dreps S.

Biometrika. 2016 Dec;103(4):829-842. doi: 10.1093/biomet/asw047. Epub 2016 Dec 8.

3.

Assessing effects of cholera vaccination in the presence of interference.

Perez-Heydrich C, Hudgens MG, Halloran ME, Clemens JD, Ali M, Emch ME.

Biometrics. 2014 Sep;70(3):731-44. doi: 10.1111/biom.12184. Epub 2014 May 20.

4.

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. doi: 10.1111/jep.12714. Epub 2017 Jan 24.

5.

Doubly robust estimation in missing data and causal inference models.

Bang H, Robins JM.

Biometrics. 2005 Dec;61(4):962-73.

PMID:
16401269
6.
7.

Stratified doubly robust estimators for the average causal effect.

Hattori S, Henmi M.

Biometrics. 2014 Jun;70(2):270-7. doi: 10.1111/biom.12157. Epub 2014 Feb 26.

PMID:
24571129
8.

Effect Estimation in Point-Exposure Studies with Binary Outcomes and High-Dimensional Covariate Data - A Comparison of Targeted Maximum Likelihood Estimation and Inverse Probability of Treatment Weighting.

Pang M, Schuster T, Filion KB, Schnitzer ME, Eberg M, Platt RW.

Int J Biostat. 2016 Nov 1;12(2). pii: /j/ijb.2016.12.issue-2/ijb-2015-0034/ijb-2015-0034.xml. doi: 10.1515/ijb-2015-0034.

9.

Doubly robust estimation of causal effects.

Funk MJ, Westreich D, Wiesen C, Stürmer T, Brookhart MA, Davidian M.

Am J Epidemiol. 2011 Apr 1;173(7):761-7. doi: 10.1093/aje/kwq439. Epub 2011 Mar 8.

10.

Comparison of empirical Bayes and propensity score methods for road safety evaluation: A simulation study.

Li H, Graham DJ, Ding H, Ren G.

Accid Anal Prev. 2019 Aug;129:148-155. doi: 10.1016/j.aap.2019.05.015. Epub 2019 May 28.

PMID:
31150921
11.

CONTROL FUNCTION ASSISTED IPW ESTIMATION WITH A SECONDARY OUTCOME IN CASE-CONTROL STUDIES.

Sofer T, Cornelis MC, Kraft P, Tchetgen Tchetgen EJ.

Stat Sin. 2017 Apr;27(2):785-804. doi: 10.5705/ss.202015.0116.

12.

Doubly robust estimation and causal inference in longitudinal studies with dropout and truncation by death.

Shardell M, Hicks GE, Ferrucci L.

Biostatistics. 2015 Jan;16(1):155-68. doi: 10.1093/biostatistics/kxu032. Epub 2014 Jul 4.

13.

A Recipe for inferference: Start with Causal Inference. Add Interference. Mix Well with R.

Saul BC, Hudgens MG.

J Stat Softw. 2017;82. pii: 2. doi: 10.18637/jss.v082.i02. Epub 2017 Nov 29.

14.

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 30;36(24):3807-3819. doi: 10.1002/sim.7389. Epub 2017 Jul 25.

PMID:
28744883
15.

Doubly robust estimation of the weighted average treatment effect for a target population.

Tao Y, Fu H.

Stat Med. 2019 Feb 10;38(3):315-325. doi: 10.1002/sim.7980. Epub 2018 Oct 9.

PMID:
30302780
16.

Data-Adaptive Bias-Reduced Doubly Robust Estimation.

Vermeulen K, Vansteelandt S.

Int J Biostat. 2016 May 1;12(1):253-82. doi: 10.1515/ijb-2015-0029.

PMID:
27227724
17.

Accounting for interactions and complex inter-subject dependency in estimating treatment effect in cluster-randomized trials with missing outcomes.

Prague M, Wang R, Stephens A, Tchetgen Tchetgen E, DeGruttola V.

Biometrics. 2016 Dec;72(4):1066-1077. doi: 10.1111/biom.12519. Epub 2016 Apr 8.

18.

Collaborative double robust targeted maximum likelihood estimation.

van der Laan MJ, Gruber S.

Int J Biostat. 2010 May 17;6(1):Article 17. doi: 10.2202/1557-4679.1181.

19.

Propensity scores based methods for estimating average treatment effect and average treatment effect among treated: A comparative study.

Abdia Y, Kulasekera KB, Datta S, Boakye M, Kong M.

Biom J. 2017 Sep;59(5):967-985. doi: 10.1002/bimj.201600094. Epub 2017 Apr 24.

PMID:
28436047
20.

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 30;35(27):5009-5028. doi: 10.1002/sim.7038. Epub 2016 Jul 14.

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