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Epidemiology. 2000 Sep;11(5):550-60.

Marginal structural models and causal inference in epidemiology.

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  • 1Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.

Abstract

In observational studies with exposures or treatments that vary over time, standard approaches for adjustment of confounding are biased when there exist time-dependent confounders that are also affected by previous treatment. This paper introduces marginal structural models, a new class of causal models that allow for improved adjustment of confounding in those situations. The parameters of a marginal structural model can be consistently estimated using a new class of estimators, the inverse-probability-of-treatment weighted estimators.

PMID:
10955408
[PubMed - indexed for MEDLINE]
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