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stat.AP2026
Evaluating the impact of longitudinal treatment strategies in the presence of informative monitoring and time-dependent confounding
Leah Pirondini, Karla Diaz-Ordaz, Edward Palmer +1
Routinely collected data from electronic health records (EHR) provide opportunities to study effects of longitudinal treatment strategies in real-world clinical settings. A challen…
stat.ME2026
Targeted learning of heterogeneous treatment effect curves for right censored or left truncated time-to-event data
Matthew Pryce, Karla Diaz-Ordaz, Ruth H. Keogh +1
In recent years, there has been growing interest in causal machine learning estimators for quantifying subject-specific effects of a binary treatment on time-to-event outcomes. Est…