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

被引：116

作者：

Daniel, Rhian M. ^{[1
]}

De Stavola, Bianca L. ^{[1
]}

Cousens, Simon N. ^{[1
]}

机构：

[1] London Sch Hyg & Trop Med, Ctr Stat Methodol, London WC1, England

来源：

STATA JOURNAL | 2011年 / 11卷 / 04期

基金：

英国医学研究理事会;

关键词：

st0238; gformula; causal inference; g-computation formula; time-varying confounding; mediation; direct and indirect effects; INFERENCE; MODELS; SURVIVAL; EXPOSURE;

D O I：

10.1177/1536867X1101100401

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 0701 ; 070101 ;

摘要：

Tins 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 effect of the exposures on an outcome is mediated by intermediate variables, and in particular when confounders of the mediator-outcome relationships are themselves 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.

引用

页码：479 / 517

页数：39

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