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

作者：Cagnone Silvia; Viroli Cinzia^*

来源：ASTA-Advances in Statistical Analysis, 2014, 98(1): 1-20.

DOI：10.1007/s10182-012-0206-5

• Categorical and ordinal data
• Cognitive functioning
• Latent variables
• Mixture models

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.

• 出版日期2014-1