gformula: Estimating causal effects in the presence of time-varying confounding or mediation using the g-computation formula

Rhian M. Daniel (), Bianca L. De Stavola and Simon N. Cousens
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Rhian M. Daniel: London School of Hygiene and Tropical Medicine
Bianca L. De Stavola: London School of Hygiene and Tropical Medicine
Simon N. Cousens: London School of Hygiene and Tropical Medicine

Stata Journal, 2011, vol. 11, issue 4, 479-517

Abstract: This article describes a new command, gformula, that is an implementation of the g-computation procedure. It is used to estimate the causal effect of time-varying exposures on an outcome in the presence of time-varying confounders that are themselves also affected by the exposures. The procedure also addresses the related problem of estimating direct and indirect effects when the causal ef- fect of the exposures on an outcome is mediated by intermediate variables, and in particular when confounders of the mediator–outcome relationships are them- selves affected by the exposures. A brief overview of the theory and a description of the command and its options are given, and illustrations using two simulated examples are provided. Copyright 2011 by StataCorp LP.

Keywords: gformula; causal inference; g-computation formula; time-varying confounding; mediation; direct and indirect effects (search for similar items in EconPapers)
Date: 2011
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