Robust inference for causal mediation analysis of recurrent event data

• Published in: Statistics in medicine Vol. 43; no. 16; pp. 3020 - 3035
• Main Authors: Chen, Yan‐Lin, Chen, Yan‐Hong, Su, Pei‐Fang, Ou, Huang‐Tz, Tai, An‐Shun
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 20.07.2024; Wiley Subscription Services, Inc
• Subjects: Biomedical research; Cardiovascular disease; Cardiovascular Diseases; causal inference; Causality; Computer Simulation; Data Interpretation, Statistical; Humans; Hypoglycemic Agents - therapeutic use; inverse probability weighting; Mediation; Mediation Analysis; Models, Statistical; Recurrence; recurrent events; robust inference; triply robust estimation; robust inference; mediation analysis; inverse probability weighting; recurrent events; triply robust estimation; causal inference

Recurrent events, including cardiovascular events, are commonly observed in biomedical studies. Understanding the effects of various treatments on recurrent events and investigating the underlying mediation mechanisms by which treatments may reduce the frequency of recurrent events are crucial tasks...