Random change point models: investigating cognitive decline in the presence of missing data

DOI10.1080/02664760903563668OpenAlexW2037065743WikidataQ57814096 ScholiaQ57814096MaRDI QIDQ5124797

Fiona E. Matthews, Graciela Muniz-Terrera, Ardo van den Hout

Publication date: 30 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760903563668

zbMATH Keywords

missing dataageingcognitive declinemini mental state examinationrandom change point models

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (6)

Change point models for cognitive tests using semi-parametric maximum likelihood ⋮ Segmented mixed models with random changepoints: a maximum likelihood approach with application to treatment for depression study ⋮ Detection of multiple change-points in multivariate data ⋮ High-dimensional changepoint detection via a geometrically inspired mapping ⋮ Detecting multiple random changepoints in Bayesian piecewise growth mixture models ⋮ Multivariate piecewise joint models with random change-points for skewed-longitudinal and survival data

Uses Software

• WinBUGS

Cites Work

• Unnamed Item
• Random-Effects Models for Longitudinal Data
• Bayesian and profile likelihood change point methods for modeling cognitive function over time
• Factor analysis and AIC
• Bayesian estimation of cognitive decline in patients with alzheimer's disease
• Hierarchical Bayes Models for the Progression of HIV Infection Using Longitudinal CD4 T-Cell Numbers
• Bayesian Measures of Model Complexity and Fit
• Informative Drop-Out in Longitudinal Data Analysis
• Change Points in the Series of T4 Counts Prior to AIDS
• Modeling the Drop-Out Mechanism in Repeated-Measures Studies
• Random Changepoint Model for Joint Modeling of Cognitive Decline and Dementia

This page was built for publication: Random change point models: investigating cognitive decline in the presence of missing data