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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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2016
2016
Emerging adulthood researchers are often interested in the effects of developmental tasks. The majority of transitions that occur… Expand
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2012
2012
In longitudinal studies, both treatments and covariates may vary throughout the follow-up period. Time-dependent (TD) Cox… Expand
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2006
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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2006
2006
Estimators of the parameter of interest in semiparametric models often depend on a guessed model for the nuisance parameter. The… Expand
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2005
2005
Competitive markets for electricity determine either a uniform marginal price (UMP), a set of nodal marginal prices (NMPs), or a… 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
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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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2004
2004
Marginal structural mean (MSM) models for longitudinal data can be used to characterize the causal effect of a time-varying… 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
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