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Marginal structural model

Known as: Marginal structural models 
Marginal structural models are a class of statistical models used for causal inference in epidemiology. Such models handle the issue of time… 
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Papers overview

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Highly Cited
2018
Highly Cited
2018
Electronic health records provide a rich source of data for machine learning methods to learn dynamic treatment responses over… 
Highly Cited
2016
Highly Cited
2016
Emerging adulthood researchers are often interested in the effects of developmental tasks. The majority of transitions that occur… 
Highly Cited
2014
Highly Cited
2014
Clinic Abstract Objective To examine the degree to which use of β blockers, statins, and diuretics in patients with Conclusions… 
2012
2012
In studies of repeated outcomes, it is customary to account for dependence in the outcomes of a given individual by incorporating… 
Review
2009
Review
2009
Instrumental variables (IVs) can be used to construct estimators of exposure effects on the outcomes of studies affected by… 
Highly Cited
2006
Highly Cited
2006
In this paper we study the role of dynamics in dimensionality reduction problems applied to sequences. We propose a new family of… 
Review
2006
Highly Cited
2004
Highly Cited
2004
Dans le cadre de sa propre theorie formelle de l'inference causale contrefactuelle, l'A. presente quelques methodes et outils… 
Highly Cited
2000
Highly Cited
2000
Robins (1993, 1994, 1997, 1998ab) has developed a set of causal or counterfactual models, the structural nested models (SNMs…