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Causal inference for the expected number of recurrent events in the presence of a terminal event
We study causal inference and efficient estimation for the expected number of recurrent events in the presence of a terminal event.
Regression Trees for Cumulative Incidence Functions
In this paper, we develop a novel approach to building regression trees for estimating cumulative incidence curves in a competing risks setting.
Robust Q-learning
Q-learning is a regression-based approach that is widely used to formalize the development of an optimal dynamic treatment strategy.
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