Publication :
A test for the correct specification of marginal structural models

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Date
2019-03-11
Direction de publication
Direction de recherche
Titre de la revue
ISSN de la revue
Titre du volume
Éditeur
Wiley
Projets de recherche
Structures organisationnelles
Numéro de revue
Résumé
Marginal structural models (MSMs) allow estimating the causal effect of a time‐varying exposure on an outcome in the presence of time‐dependent confounding. The parameters of MSMs can be estimated utilizing an inverse probability of treatment weight estimator under certain assumptions. One of these assumptions is that the proposed causal model relating the outcome to exposure history is correctly specified. However, in practice, the true model is unknown. We propose a test that employs the observed data to attempt validating the assumption that the model is correctly specified. The performance of the proposed test is investigated with a simulation study. We illustrate our approach by estimating the effect of repeated exposure to psychosocial stressors at work on ambulatory blood pressure in a large cohort of white‐collar workers in Québec City, Canada. Code examples in SAS and R are provided to facilitate the implementation of the test.
Description
Revue
Statistics in medicine 1-16 (2019)
DOI
10.1002/sim.8132
URL vers la version publiée
Mots-clés
Causal inference , marginal structural models , model specification
Citation
Type de document
article de recherche