A Note on G-Estimation of Causal Risk Ratios.

A Note on G-Estimation of Causal Risk Ratios.
Am J Epidemiol. 2018 Mar 12;:
Authors: Dukes O, Vansteelandt S
Abstract
G-estimation is a flexible, semiparametric approach for estimating exposure effects in epidemiologic studies. It has several under-appreciated advantages over other propensity score-based methods popular in epidemiology, which we review in this note. However, it is rarely used in practice, due to a lack of off-the-shelf software. To rectify this, we show a simple trick for obtaining G-estimators of causal risk ratios using existing generalized estimating equations software. We extend the procedure to more complex settings with time-varying confounders.
PMID: 29538720 [PubMed - as supplied by publisher]

Source: Am J Epidemiol - March 12, 2018 Category: Epidemiology Authors: Dukes O, Vansteelandt S Tags: Am J Epidemiol Source Type: research