2 papers
stat.ME2026
Treatment persistence drives estimator performance in longitudinal causal inference based on observational data: A simulation study
Sergio Gaiotti, Sara Poletto, Enrico Longato +2
Longitudinal clinical data are increasingly available, offering opportunities to study treatment effects over time but also raising challenges related to time-varying confounding a…
stat.ME2024
Comparing Propensity Score-Based Methods in Estimating the Treatment Effects: A Simulation Study
Sara Poletto, Enrico Longato, Erica Tavazzi +1
In observational studies, the recorded treatment assignment is not purely random, but it is influenced by external factors such as patient characteristics, reimbursement policies,…