Joint analyses of longitudinal and time-to-event data in research on aging: Implications for predicting health and survival

Joint analyses of longitudinal and time-to-event data in research on aging: Implications for predicting health and survival

Longitudinal data on aging, health and longevity provide a wealth of information to investigate different aspects of the processes of aging and development of diseases leading to death. Statistical methods aimed at analyses of time-to-event data jointly with longitudinal measurements became known as...

Full description

Bibliographic Details
Main Authors: Konstantin G. Arbeev, Igor eAkushevich, Alexander M Kulminski, Svetlana eUkraintseva, Anatoliy I Yashin
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-11-01
Series:Frontiers in Public Health
Subjects:
Aging
Forecasting
Health
Mortality
trajectory
joint model
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpubh.2014.00228/full

Similar Items

Similar Items