Comparison of Methods for Algorithmic Classification of Dementia Status in the Health and Retirement Study

Abstract

Algorithmic diagnoses provide a cost-effective way to conduct dementia research. However, naïve use of existing algorithms in disparities or risk factor research may induce nonconservative bias. Algorithms with more comparable performance across relevant subgroups are needed.