Results 21 to 30 of about 23,676,347 (287)
Causal mediation analysis with multiple causally non-ordered mediators [PDF]
In many health studies, researchers are interested in estimating the treatment effects on the outcome around and through an intermediate variable. Such causal mediation analyses aim to understand the mechanisms that explain the treatment effect. Although multiple mediators are often involved in real studies, most of the literature considered mediation ...
Taguri, Masataka +2 more
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Semiparametric Estimation for Causal Mediation Analysis with Multiple Causally Ordered Mediators [PDF]
AbstractCausal mediation analysis concerns the pathways through which a treatment affects an outcome. While most of the mediation literature focuses on settings with a single mediator, a flourishing line of research has examined settings involving multiple mediators, under which path-specific effects (PSEs) are often of interest. We consider estimation
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Causal Mediation Analysis for Stochastic Interventions [PDF]
SummaryMediation analysis in causal inference has traditionally focused on binary exposures and deterministic interventions, and a decomposition of the average treatment effect in terms of direct and indirect effects. We present an analogous decomposition of the population intervention effect, defined through stochastic interventions on the exposure ...
Díaz, Iván, Hejazi, Nima
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Visual presentation of sensitivity analysis for causal mediation analysis.
Visual presentation of sensitivity analysis for causal mediation analysis.
Jie Gu (607491) +2 more
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Investigating potential mediator between statin and coronary artery calcification. [PDF]
Statins are mainstay anti-lipidaemic treatments for preventing cardiovascular diseases but also known to increase coronary artery calcification (CAC). However, underlying relationship between statin and CAC is still unclear.
Donghun Lee +3 more
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Causal Mediation Analysis: A Summary-Data Mendelian Randomization Approach [PDF]
Chia-Yen Chen +2 more
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Continuous‐time causal mediation analysis
While causal mediation analysis has seen considerable recent development for a single measured mediator (M) and final outcome (Y), less attention has been given to repeatedly measured M and Y. Previous methods have typically involved discrete‐time models that limit inference to the particular measurement times used and do not recognize the continuous ...
Jeffrey M. Albert +4 more
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Causal Mediation Analysis [PDF]
Estimating the mechanisms that connect explanatory variables with the explained variable, also known as "mediation analysis," is central to a variety of social-science fields, especially psychology, and increasingly to fields like epidemiology,.
Tingley, Dustin, Hicks, Raymond
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A general approach to causal mediation analysis. [PDF]
Traditionally in the social sciences, causal mediation analysis has been formulated, understood, and implemented within the framework of linear structural equation models. We argue and demonstrate that this is problematic for 3 reasons: the lack of a general definition of causal mediation effects independent of a particular statistical model, the ...
Imai, Kosuke +2 more
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