2021
DOI: 10.1214/21-aoas1445
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Modeling past event feedback through biomarker dynamics in the multistate event analysis for cardiovascular disease data

Abstract: In cardiovascular studies, we often observe ordered multiple events along disease progression, which are essentially a series of recurrent events and terminal events with competing risk structure. One of the main interest is to explore the event specific association with the dynamics of longitudinal biomarkers. New statistical challenge arises when the biomarkers carry information from the past event history, providing feedbacks for the occurrences of future events, and particularly when these biomarkers are o… Show more

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