Andrew Heiss • 1/15/2021

Marginal structural models for panel data with GEE and multilevel models

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This article details the author's process of correcting inverse probability weights for panel data with autocorrelation. It explains how to implement marginal structural models using both Generalized Estimating Equations (GEE) and multilevel models in R to achieve proper causal inference in time-series cross-sectional data.

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#R #Causal Inference #Marginal Structural Models
Marginal structural models for panel data with GEE and multilevel models

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