Affordable Access

deepdyve-link
Publisher Website

Joint model with latent state for longitudinal and multistate data.

Authors
  • Dantan, E
  • Joly, P
  • Dartigues, J-F
  • Jacqmin-Gadda, H
Type
Published Article
Journal
Biostatistics (Oxford, England)
Publication Date
Oct 01, 2011
Volume
12
Issue
4
Pages
723–736
Identifiers
DOI: 10.1093/biostatistics/kxr003
PMID: 21415017
Source
Medline
License
Unknown

Abstract

In many chronic diseases, the patient's health status is followed up by quantitative markers. The evolution is often characterized by a 2-phase degradation process, that is, a normal phase followed by a pathological degradation phase preceding the disease diagnosis. We propose a joint multistate model with latent state for the joint modeling of repeated measures of a quantitative marker, time-to-illness and time-to-death. Using data from the PAQUID cohort on cognitive aging, we jointly studied cognitive decline, dementia risk, and death risk. We estimated the mean evolution of cognitive scores given age at dementia for subjects alive and demented, the mean evolution of cognitive scores for subjects alive and nondemented, in addition to age at acceleration of cognitive decline and duration of the pre-dementia phase.

Report this publication

Statistics

Seen <100 times