Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 1 of 1
Full-Text Articles in Entire DC Network
Comparison Of Existing Methods For Algorithmic Classification Of Dementia In The Health And Retirement Study, Kan Z. Gianattasio, Qiong Wu, M Maria Glymour, Melinda C. Power
Comparison Of Existing Methods For Algorithmic Classification Of Dementia In The Health And Retirement Study, Kan Z. Gianattasio, Qiong Wu, M Maria Glymour, Melinda C. Power
GW Research Days 2016 - 2020
Background: Dementia ascertainment is difficult and costly, hindering the use of large, representative studies such as the Health and Retirement Study (HRS) to monitor trends or disparities in dementia. To address this issue, multiple groups of researchers have developed algorithms to classify dementia status in HRS participants using data from HRS and the Aging, Demographics, and Memory Study (ADAMS), an HRS sub-study that systematically ascertained dementia status. However, the relative performance of each algorithm has not been systematically evaluated.
Objective: To compare the performance of five existing algorithms, overall and by sociodemographic subgroups.
Methods: We created two standardized datasets: (a) …