Titlebook: Biodemography of Aging; Determinants of Heal Anatoliy I. Yashin,Eric Stallard,Kenneth C. Land Book 2016 Springer Science+Business Media B.V

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Stochastic Process Models of Mortality and Agingnt relevant knowledge accumulated in the field when extracting useful information from the data. In this chapter, we describe an approach to statistical analyses of longitudinal data based on the use of stochastic process models of human aging, health, and longevity. An important advantage of this a

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How Biodemographic Approaches Can Improve Statistical Power in Genetic Analyses of Longitudinal Data to work with the rich data available in modern longitudinal studies of aging, health, and longevity that have collected genetic information in addition to follow-up data on events and longitudinal measurements of biomarkers. Such methods provide a possibility for improving the power of genetic anal

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Conclusions Regarding Empirical Patterns of Aging, Health, and Longevityge. This change integrates all challenges occurring in a human organism during the life course by a given age. Accordingly, the age patterns of various age-related phenotypes are a valuable source of information about health-related processes in human organisms.

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