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Aga Khan University

Behavior and Behavior Mechanisms

Algorithm

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Use Of Multidimensional Item Response Theory Methods For Dementia Prevalence Prediction: An Example Using The Health And Retirement Survey And The Aging, Demographics, And Memory Study, Manasi Kumar, Gbd 2019 Dementia Collaborators Dec 2021

Use Of Multidimensional Item Response Theory Methods For Dementia Prevalence Prediction: An Example Using The Health And Retirement Survey And The Aging, Demographics, And Memory Study, Manasi Kumar, Gbd 2019 Dementia Collaborators

Brain and Mind Institute

Abstract: Background: Data sparsity is a major limitation to estimating national and global dementia burden. Surveys with full diagnostic evaluations of dementia prevalence are prohibitively resource-intensive in many settings. However, validation samples from nationally representative surveys allow for the development of algorithms for the prediction of dementia prevalence nationally. Methods: Using cognitive testing data and data on functional limitations from Wave A (2001–2003) of the ADAMS study (n=744) and the 2000 wave of the HRS study (n=6358) we estimated a two-dimensional item response theory model to calculate cognition and function scores for all individuals over 70. Based on diagnostic information …