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A causal mediation analysis in the presence of multiple time-varying mediators

Grant number: 21/06057-0
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): August 01, 2021
Effective date (End): March 23, 2022
Field of knowledge:Physical Sciences and Mathematics - Probability and Statistics - Statistics
Principal researcher:Hedibert Freitas Lopes
Grantee:Widemberg da Silva Nobre
Home Institution: Instituto de Ensino e Pesquisa (Insper). São Paulo , SP, Brazil
Associated research grant:18/04654-9 - Time series, wavelets and high dimensional data, AP.TEM


We will investigate the causal impact of an intervention accounting for temporal evolution of the data. In particular, we focus on the context of causal mediation analysis in settings of multiple mediators sequentially structured. The goal of the mediation analysis is to determine whether the causal effect between two variables is mediated by a third variable, and in what dimension this mediation happens. We aim at incorporating causal mediation techniques to the context of an intervention at a particular point in time. We will develop statistical methods to estimate causal direct and indirect effects. Finally, we also aim at applying the proposed method to a particular problem involving the Coronavirus pandemic. (AU)

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