Implementing double-robust estimators of causal effects

This article describes the implementation of a double-robust estimator for pretest–posttest studies (Lunceford and Davidian, 2004, Statistics in Medicine 23: 2937–2960) and presents a new Stata command (dr) that carries out the procedure. A double-robust estimator gives the analyst two opportunities for obtaining unbiased inference when adjusting for selection effects such as confounding by allowing for different forms of model misspecification; a double-robust estimator also can offer increased efficiency when all the models are correctly specified. We demonstrate the results with a Monte Carlo simulation study, and we show how to implement the double-robust estimator on a single simulated dataset, both manually and by using the dr command.


Issue Date:
2008
Publication Type:
Journal Article
DOI and Other Identifiers:
st0149 (Other)
PURL Identifier:
http://purl.umn.edu/122597
Published in:
Stata Journal, Volume 08, Number 3
Page range:
334-353
Total Pages:
20

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 Record created 2017-04-01, last modified 2017-08-26

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