The AccelerAge framework: a new statistical approach to predict biological age based on time-to-event data.

ABSTRACT: Aging is a multifaceted and intricate physiological process characterized by a gradual decline in functional capacity, leading to increased susceptibility to diseases and mortality. While chronological age serves as a strong risk factor for age-related health conditions, considerable heterogeneity exists in the aging trajectories of individuals, suggesting that biological age may provide a more nuanced understanding of the aging process. However, the concept of biological age lacks a clear operationalization, leading to the development of various biological age predictors without a solid statistical foundation. This paper addresses these limitations by proposing a comprehensive operationalization of biological age, introducing the "AccelerAge" framework for predicting biological age, and i

SUBMITTER: Sluiskes M 

PROVIDER: S-EPMC11249598 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature