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Items: 1 to 20 of 123

1.

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.

2.

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.

PMID:
24571129
3.

Model misspecification and robustness in causal inference: comparing matching with doubly robust estimation.

Waernbaum I.

Stat Med. 2012 Jul 10;31(15):1572-81. doi: 10.1002/sim.4496.

PMID:
22359267
4.

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 30;31(30):4382-400. doi: 10.1002/sim.5643.

PMID:
23086504
5.

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. doi: 10.1016/j.jclinepi.2013.02.017.

6.

Estimating causal effects for multivalued treatments: a comparison of approaches.

Linden A, Uysal SD, Ryan A, Adams JL.

Stat Med. 2016 Feb 20;35(4):534-52. doi: 10.1002/sim.6768.

PMID:
26482211
7.

Improving causal inference with a doubly robust estimator that combines propensity score stratification and weighting.

Linden A.

J Eval Clin Pract. 2017 Jan 24. doi: 10.1111/jep.12714. [Epub ahead of print]

PMID:
28116816
8.

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.

9.
10.

Brief Report: Doubly Robust Estimation of Standardized Risk Difference and Ratio in the Exposed Population.

Shinozaki T, Matsuyama Y.

Epidemiology. 2015 Nov;26(6):873-7. doi: 10.1097/EDE.0000000000000363.

PMID:
26275176
11.

A simple unified approach for estimating natural direct and indirect effects.

Lange T, Vansteelandt S, Bekaert M.

Am J Epidemiol. 2012 Aug 1;176(3):190-5. doi: 10.1093/aje/kwr525.

PMID:
22781427
12.

On a closed-form doubly robust estimator of the adjusted odds ratio for a binary exposure.

Tchetgen Tchetgen EJ.

Am J Epidemiol. 2013 Jun 1;177(11):1314-6. doi: 10.1093/aje/kws377.

13.

A doubly robust estimator for the attributable benefit of a treatment regime.

Brinkley J.

Stat Med. 2014 Dec 20;33(29):5057-73. doi: 10.1002/sim.6312.

PMID:
25382146
14.

Variance estimation for stratified propensity score estimators.

Williamson EJ, Morley R, Lucas A, Carpenter JR.

Stat Med. 2012 Jul 10;31(15):1617-32. doi: 10.1002/sim.4504.

PMID:
22362427
15.

The use of propensity scores and observational data to estimate randomized controlled trial generalizability bias.

Pressler TR, Kaizar EE.

Stat Med. 2013 Sep 10;32(20):3552-68. doi: 10.1002/sim.5802.

16.

Targeted maximum likelihood based causal inference: Part I.

van der Laan MJ.

Int J Biostat. 2010;6(2):Article 2.

PMID:
21969992
17.

Quantifying the causal effects of 20mph zones on road casualties in London via doubly robust estimation.

Li H, Graham DJ.

Accid Anal Prev. 2016 Aug;93:65-74. doi: 10.1016/j.aap.2016.04.007.

PMID:
27173361
18.

G-computation demonstration in causal mediation analysis.

Wang A, Arah OA.

Eur J Epidemiol. 2015 Oct;30(10):1119-27. doi: 10.1007/s10654-015-0100-z.

19.

Doubly robust estimation in missing data and causal inference models.

Bang H, Robins JM.

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

PMID:
16401269
20.

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
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