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Aging pp 259-273 | Cite as

Integrating Longitudinal Population Studies of Aging in Biological Research

  • Amin Haghani
  • Brendan Miller
  • T. Em ArpawongEmail author
  • Jennifer Ailshire
Protocol
  • 112 Downloads
Part of the Methods in Molecular Biology book series (MIMB, volume 2144)

Abstract

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 words

Human subject research Longitudinal data Longitudinal statistics 

Notes

Acknowledgments

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).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2020

Authors and Affiliations

  • Amin Haghani
    • 1
  • Brendan Miller
    • 1
  • T. Em Arpawong
    • 1
    Email author
  • Jennifer Ailshire
    • 1
  1. 1.Leonard Davis School of GerontologyUniversity of Southern CaliforniaLos AngelesUSA

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