ArticleTheoretical population biology2008
Model of hidden heterogeneity in longitudinal data.
Article in Theoretical population biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Article
- A genetic stochastic process model for genome-wide joint analysis of biomarker dynamics and disease susceptibility with longitudinal data.Genetic epidemiology · 2017Article
- stpm: an R package for stochastic process model.BMC bioinformatics · 2017Article
- Examining mortality risk and rate of ageing among Polish Olympic athletes: a survival follow-up from 1924 to 2012.BMJ open · 2016Article
- How Genes Modulate Patterns of Aging-Related Changes on the Way to 100: Biodemographic Models and Methods in Genetic Analyses of Longitudinal Data.North American actuarial journal : NAAJ · 2016Article
- Joint Analyses of Longitudinal and Time-to-Event Data in Research on Aging: Implications for Predicting Health and Survival.Frontiers in public health · 2014Review
- The quadratic hazard model for analyzing longitudinal data on aging, health, and the life span.Physics of life reviews · 2012Article
- New stochastic carcinogenesis model with covariates: an approach involving intracellular barrier mechanisms.Mathematical biosciences · 2012Article
- Modeling hematopoietic system response caused by chronic exposure to ionizing radiation.Radiation and environmental biophysics · 2011Article
- Dynamic heterogeneity and life histories.Annals of the New York Academy of Sciences · 2010Review
- Dynamic determinants of longevity and exceptional health.Current gerontology and geriatrics research · 2010Article
- Genetic model for longitudinal studies of aging, health, and longevity and its potential application to incomplete data.Journal of theoretical biology · 2009Article
- Cumulative deficits and physiological indices as predictors of mortality and long life.The journals of gerontology. Series A, Biological sciences and medical sciences · 2008Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.