A factor mixture model for analyzing heterogeneity and cognitive structure of dementia

TitleA factor mixture model for analyzing heterogeneity and cognitive structure of dementia
Publication TypeJournal Article
Year of Publication2014
AuthorsCagnone, S, Viroli, C
JournalAStA Advances in Statistical Analysis
Volume98
Issue1
Pagination1
KeywordsHealth Conditions and Status, Methodology, Other
Abstract

The Health and Retirement Study (HRS) is funded by the National Institute on Aging of US with the aim of investigating the health, social and economic implications of the aging of the American population. The participants of the study receive a thorough in-home clinical and neuropsychological assessment leading to a diagnosis of normal, cognitive impairment but not demented, or dementia. Due to the heterogeneity of the participants into three classes, we analyze some overall cognitive functioning responses through a factor mixture analysis model. The model extends recent proposals developed for binary and continuous data to general mixed data and to the situation of observed heterogeneity, typical of the HRS study.

Endnote Keywords

Latent variables/Categorical and ordinal data/Mixture models/Cognitive functioning/Statistics/Statistics/Statistics, general/Analysis/Econometrics/Dementia/Statistics for Business/Economics/Mathematical Finance/Insurance/Probability Theory and Stochastic Processes

Endnote ID

999999

Citation Key8083