Article

Using Joint Longitudinal and Time-to-Event Models to Improve the Parameterization of Chronic Disease Microsimulation Models: an Application to Cardiovascular Disease

2024-10-29

Abstract excerpt

<h4>Background</h4> Chronic disease microsimulation models often simulate disease incidence as a function of risk factors that evolve over time (e.g., blood pressure increasing with age) in order to facilitate decision analyses of different disease screening and prevention strategies. Existing models typically rely on incidence rates estimated with standard survival analysis techniques (e.g., proportional hazards...

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Literature Corpus work: 94086000-d750-5d7a-ad92-6531b4d378a1
DOI: 10.1101/2024.10.27.24316240

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