Model of hidden heterogeneity in longitudinal data

DOI10.1016/J.TPB.2007.09.001zbMath1202.92074OpenAlexW2090301552WikidataQ31135067 ScholiaQ31135067MaRDI QIDQ615383

Lucy Akushevich, Anatoliy I. Yashin, Igor Akushevich, Konstantin G. Arbeev, Svetlana V. Ukraintseva, Alexander M. Kulminski

Publication date: 5 January 2011

Published in: Theoretical Population Biology (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2268646

zbMATH Keywords

variabilityheterogeneitylongevityaginglongitudinal studiesFramingham Heart Studyquadratic hazard modelunobserved covariates

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Minimax procedures in statistical decision theory (62C20) Population dynamics (general) (92D25) Mathematical geography and demography (91D20)

Related Items (5)

Genetic model for longitudinal studies of aging, health, and longevity and its potential application to incomplete data ⋮ Joint Analysis of Health Histories, Physiological State, and Survival ⋮ New stochastic carcinogenesis model with covariates: an approach involving intracellular barrier mechanisms ⋮ Effects of demographic structure on key properties of stochastic density-independent population dynamics ⋮ How Genes Modulate Patterns of Aging-Related Changes on the Way to 100: Biodemographic Models and Methods in Genetic Analyses of Longitudinal Data

Uses Software

• Matlab

Cites Work

• Stochastic model for analysis of longitudinal data on aging and mortality
• Mortality and aging in a heterogeneous population: A stochastic process model with observed and unobserved variables
• A random-walk model of human mortality and aging
• Effects of unobserved and partially observed covariate processes on system failure: A review of models and estimation strategies
• True and Spurious Duration Dependence: The Identifiability of the Proportional Hazard Model

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