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Treatment persistence drives estimator performance in longitudinal causal inference based on observational data: A simulation study
Longitudinal clinical data are increasingly available, offering opportunities to study treatment effects over time but also raising challenges related to time-varying confounding and evolving treatment decisions. We investigate how longitudinal treatment dynamics affect causal effect estimation when
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