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Incorporating Cross-Sectional Information into a Joint Model of Longitudinal and Survival Data using Informative Priors

Presented During: Innovations in Bayesian joint models with applications to big data and cardiovascular health

Zeynab Aghabazaz Co-Author
Northwestern University

Michael Daniels Co-Author
University of Florida

Juned Siddique Speaker
Northwestern University

Wednesday, Aug 6: 11:50 AM - 12:15 PM
Invited Paper Session

Music City Center

We discuss Bayesian approaches for incorporating cross-sectional cardiovascular risk factor data and its association with events into a joint model of longitudinal data and survival outcomes through the use of informative priors. We use longitudinal data from the Coronary Artery Risk Development in Young Adults (CARDIA) cohort study and cross-sectional data from the Third National Health and Nutrition Examination Survey (NHANES) Linked Mortality File.

Keywords

power prior

commensurate prior