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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… Expand
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Papers overview

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2018
2018
Electronic health records provide a rich source of data for machine learning methods to learn dynamic treatment responses over… Expand
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Highly Cited
2016
Highly Cited
2016
Emerging adulthood researchers are often interested in the effects of developmental tasks. The majority of transitions that occur… Expand
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2013
2013
We consider a strategic producer that trades its energy in a multi-period network-constrained electricity pool and, for strategic… Expand
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2012
2012
In studies of repeated outcomes, it is customary to account for dependence in the outcomes of a given individual by incorporating… Expand
2007
2007
Los metodos convencionales tienen limitaciones para ajustar por factores de confusion dependientes del tiempo para evaluar la… Expand
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… Expand
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2006
2006
Abstract In this article we consider estimation of causal parameters in a marginal structural model for the discrete intensity of… Expand
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2005
2005
Marginal structural models (MSM) provide a powerful tool for estimating the causal effect of a treatment, particularly in the… Expand
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… Expand
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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… Expand