Ashkan Ertefaie (University of Pennsylvania)
TITLE
Causal inference for the expected number of recurrent events in the presence of a terminal event.
ABSTRACT
While recurrent event analyses have been extensively studied, limited attention has been given to causal inference within the framework of recurrent event analysis. We develop a comprehensive efficiency theory for causal inference in recurrent event data with a terminal failure time. We define our estimand as the vector comprising both the expected number of recurrent events and the failure survival function evaluated along a sequence of landmark times. We show that the estimand can be identified under a weaker condition than conditionally independent censoring and derive the nonparametric efficient influence function under general censoring and failure distributions without assuming absolute continuity. We will assess the causal effect of air pollution exposure on the recurrence of cardiovascular disease-related hospitalization using Medicare data from Arizona.
PLACE
Hybride - CRM, Salle / Room 5340, Pavillon Andr茅 Aisenstadt