Abstract
Targeted minimum loss based estimation (TMLE) provides a template for the construction of semiparametric locally efficient double robust substitution estimators of the target parameter of the data generating distribution in a semiparametric censored data or causal inference model (van der Laan and Rubin (2006),van der Laan (2008), van der Laan and Rose (2011)). In this article we demonstrate how to construct a TMLE that also satisfies the property that it is at least as efficient as a user supplied asymptotically linear estimator. For the sake of illustration we focus on estimation of the additive average causal effect of a point treatment on an outcome, adjusting for baseline covariates.
Disciplines
Biostatistics
Suggested Citation
Gruber, Susan and van der Laan, Mark J., "Targeted Minimum Loss Based Estimator that Outperforms a given Estimator" (April 2011). U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 280.
https://biostats.bepress.com/ucbbiostat/paper280