Sara Poletto

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 baseline and longit...