3 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,…
cs.LG2024
Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression
Elena Marinello, Erica Tavazzi, Enrico Longato +14
Multiple Sclerosis (MS) is a chronic autoimmune and inflammatory neurological disorder characterised by episodes of symptom exacerbation, known as relapses. In this study, we inves…