Model of hidden heterogeneity in longitudinal data.

Journal Article

Variables measured in longitudinal studies of aging and longevity do not exhaust the list of all factors affecting health and mortality transitions. Unobserved factors generate hidden variability in susceptibility to diseases and death in populations and in age trajectories of longitudinally measured indices. Effects of such heterogeneity can be manifested not only in observed hazard rates but also in average trajectories of measured indices. Although effects of hidden heterogeneity on observed mortality rates are widely discussed, their role in forming age patterns of other aging-related characteristics (average trajectories of physiological state, stress resistance, etc.) is less clear. We propose a model of hidden heterogeneity to analyze its effects in longitudinal data. The approach takes the presence of hidden heterogeneity into account and incorporates several major concepts currently developing in aging research (allostatic load, aging-associated decline in adaptive capacity and stress-resistance, age-dependent physiological norms). Simulation experiments confirm identifiability of model's parameters.

Full Text

Duke Authors

Cited Authors

  • Yashin, AI; Arbeev, KG; Akushevich, I; Kulminski, A; Akushevich, L; Ukraintseva, SV

Published Date

  • February 2008

Published In

Volume / Issue

  • 73 / 1

Start / End Page

  • 1 - 10

PubMed ID

  • 17977568

Electronic International Standard Serial Number (EISSN)

  • 1096-0325

International Standard Serial Number (ISSN)

  • 0040-5809

Digital Object Identifier (DOI)

  • 10.1016/j.tpb.2007.09.001

Language

  • eng