Causal inference with recurrent and competing events.

ABSTRACT: Many research questions concern treatment effects on outcomes that can recur several times in the same individual. For example, medical researchers are interested in treatment effects on hospitalizations in heart failure patients and sports injuries in athletes. Competing events, such as death, complicate causal inference in studies of recurrent events because once a competing event occurs, an individual cannot have more recurrent events. Several statistical estimands have been studied in recurrent event settings, with and without competing events. However, the causal interpretations of these estimands, and the conditions that are required to identify these estimands from observed data, have yet to be formalized. Here we use a formal framework for causal inference to formulate several caus

SUBMITTER: Janvin M 

PROVIDER: S-EPMC10764453 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature