Date of this Version
Statistics & Probability Letters
Efficient semiparametric estimation of longitudinal causal effects is often analytically or computationally intractable. We propose a novel restricted estimation approach for increasing efficiency, which can be used with other techniques, is straightforward to implement, and requires no additional modeling assumptions.
© 2015 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
doubly robust, generalized method of moments, marginal structural model, semiparametric efficiency, structural nested model, time-varying confounding
Kennedy, E. H., Joffe, M. M., & Small, D. S. (2015). Optimal Restricted Estimation for More Efficient Longitudinal Causal Inference. Statistics & Probability Letters, 97 185-191. http://dx.doi.org/10.1016/j.spl.2014.11.022
Date Posted: 25 October 2018
This document has been peer reviewed.