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Activity Number: 104 - Survival Analysis in Causal Inference Studies
Type: Invited
Date/Time: Monday, August 3, 2020 : 1:00 PM to 2:50 PM
Sponsor: Lifetime Data Science Section
Abstract #309490
Title: Causal Inference and Competing Risk Data
Author(s): Torben Martinussen*
Companies: University of Copenhagen

The analysis of competing risk data is notoriously difficult. It is well understood that one should be very careful if the focus is the cumulative incidence function corresponding to a primary cause. It is tempting to believe that shifting focus to cause specific hazards alleviates this problem, but this is false if interest is causal understanding of a given treatment. We study a new estimand that has a causal interpretation and develop a double robust estimation procedure. We illustrate the method with simulations and also a real data analysis.

Authors who are presenting talks have a * after their name.

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