Dynamic risk prediction for cardiovascular disease: An illustration using the ARIC Study
Accepted version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
Barrett, JK
Sweeting, MJ
Wood, AM
Abstract
We review methods for using repeated measurements of a time-varying risk predictor in dynamic risk prediction. We compare how the landmarking and joint modeling approaches can incorporate information from repeated measurements of systolic blood pressure in cardiovascular risk prediction and illustrate the methods using data from the Atherosclerosis Risk in Communities Study. We assess predictive accuracy using dynamic measures of discrimination and calibration.
Description
Title
Dynamic risk prediction for cardiovascular disease: An illustration using the ARIC Study
Keywords
Is Part Of
Handbook of Statistics
Book type
Publisher
Elsevier
Publisher DOI
ISBN
Sponsorship
Medical Research Council (MR/K014811/1)
MRC (MR/L501566/1)
MRC (MR/L501566/1)