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Regression modelBiological aging / biomarker estimation

Biological Age Estimation

Biological age estimation seeks to measure how old a person's body actually is, as distinct from the number of years since their birth. The most influential statistical approach is the Klemera-Doubal method (KDM), introduced in 2006, which derives a single biological-age value from a panel of age-related biomarkers. The central idea is that many physiological measures change predictably with age, so by regressing each biomarker on chronological age in a reference sample one can learn how each one tracks aging and then combine them to infer an individual's underlying biological age. Klemera and Doubal showed mathematically that treating biological age as a latent quantity estimated from all biomarkers jointly, weighted by how strongly and how cleanly each tracks age, yields a more accurate estimate than simply regressing chronological age on the biomarkers. The gap between estimated biological age and chronological age, often called biological age acceleration, indicates whether a person is aging faster or slower than average. This deviation predicts mortality and morbidity beyond chronological age, which is what makes the estimate useful.

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Fuentes

  1. Klemera, P., & Doubal, S. (2006). A new approach to the concept and computation of biological age. Mechanisms of Ageing and Development, 127(3), 240-248. DOI: 10.1016/j.mad.2005.10.004

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ScholarGate. (2026, June 23). Biological Age Estimation (Klemera-Doubal Method). ScholarGate. https://scholargate.app/es/social-gerontology/biological-age-estimation

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Citado por

ScholarGateBiological Age Estimation (Biological Age Estimation (Klemera-Doubal Method)). Recuperado el 2026-06-24 de https://scholargate.app/es/social-gerontology/biological-age-estimation · Conjunto de datos: https://doi.org/10.5281/zenodo.20539026