Integrating Longitudinal Population Studies of Aging in Biological Research
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Aging is a complicated biological process defined by a combination of species-specific phenotypes. Understating this complex system in humans requires collaboration across a wide range of scientists including molecular biologists, biochemists, biophysicists, biostatisticians, geneticists, demographers, and epidemiologists. Longitudinal data on humans is an essential tool for both discovery and hypothesis testing for validation. Several longitudinal studies of aging exist that have collected both social and biological data in humans that can be used to understand the human aging processes. This chapter aims to introduce aging biologists to these valuable resources and also explain some of the essential skills necessary to work with these large population-based datasets.
Key wordsHuman subject research Longitudinal data Longitudinal statistics R
Contributions to this work were partially supported by funding from the National Institutes of Health, with support for B. Miller from a National Institute on Aging training grant (T32 AG00037; PI: Eileen Crimmins), for A. Haghani from a National Institute on Aging training grant (T32 AG052374: PI: Kelvin Davies), and for T.E. Arpawong through a pilot award from the National Institute on Aging (parent award P30 AG017265; PI: Eileen Crimmins).