Doubly-robust estimation of treatment effect

Marie Davidian presented work published in the 2004 Statistics in Medicine paper in Spring of 2007 at NCSU - here are the presentation slides: Double Robustness in Estimation of Causal Treatment Effects.

The doubly robust estimator of treatment effect uses inverse probability weighting to adjust for selection into treatment and further regression adjustment in modeling treatment effect. Davidian shows that as long as either the propensity model or the regression model is correct, the doubly-robust estimator is a consistent estimator of the true treatment effect.

A SAS macro that performs doubly robust estimation is available from the Harry Guess research community web site at UNC.