New IP weights and closed testing for partial-history MSMs aim to improve efficiency and reduce bias in time-varying causal effect estimation.
Simulation from a known Cox MSM using standard parametric models for the g-formula
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Estimation of time-varying treatment effects using marginal structural models dependent on partial treatment history
New IP weights and closed testing for partial-history MSMs aim to improve efficiency and reduce bias in time-varying causal effect estimation.