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Estimates flexible epidemiological effect measures including both differences and ratios using the parametric G-formula developed as an alternative to inverse probability weighting. It is useful for estimating the impact of interventions in the presence of treatment-confounder-feedback. G-computation was originally described by Robbins (1986) doi:10.1016/0270-0255(86)90088-6 and has been described in detail by Ahern, Hubbard, and Galea (2009) doi:10.1093/aje/kwp015; Snowden, Rose, and Mortimer (2011) doi:10.1093/aje/kwq472; and Westreich et al. (2012) doi:10.1002/sim.5316.
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