Internal-external cross-validation helped to evaluate the generalizability of prediction models in large clustered datasets.
(2021)
Journal Article
(2021). Internal-external cross-validation helped to evaluate the generalizability of prediction models in large clustered datasets. Journal of Clinical Epidemiology, 83 - 91. https://doi.org/10.1016/j.jclinepi.2021.03.025
OBJECTIVE: To illustrate how to evaluate the need of complex strategies for developing generalizable prediction models in large clustered datasets. STUDY DESIGN AND SETTING: We developed eight Cox regression models to estimate the risk of heart failu... Read More about Internal-external cross-validation helped to evaluate the generalizability of prediction models in large clustered datasets..