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Efficient representations of binarized health deficit data: the frailty index and beyond
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A one-dimensional representation of the complex biochemistry and phenotypes of aging is supported by analyses of aging data.
“The possibility of such a one-dimensional representation of the complex biochemistry and phenotypes of aging21–25 is supported by analyses of aging data26–30.”
From A damage accumulation model identifies distinct aging regimes across species (2026) · cites this paper as [27]
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López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2013) · Cell · doi:10.1016/j.cell.2013.05.039 · Cited by 14,982
Logistic Regression in Rare Events Data
King, G., & Zeng, L. (2001) · Political Analysis · doi:10.1093/oxfordjournals.pan.a004868 · Cited by 4,316 · cited 3×
“GLMs used to predict binary outcomes are known to underestimate the frequency of rare events, even for datasets with 1000s of individuals (such as ours) [45].”
BackgroundMethodInfluentialBow ties, metabolism and disease
Csete, M., & Doyle, J. (2004) · Trends in biotechnology · doi:10.1016/j.tibtech.2004.07.007 · Cited by 468
New hallmarks of ageing: a 2022 Copenhagen ageing meeting summary
Schmauck-Medina, T., Molière, A., Lautrup, S., Zhang, J., Chlopicki, S., Madsen, H. B., Cao, S., Soendenbroe, C., Mansell, E., Vestergaard, M. B., et al. (2022) · Aging · doi:10.18632/aging.204248 · Cited by 319 · cited 2×
“Representing dysfunction requires robust summary measures of aging data, which can then help us to operationalize theories of causal mechanisms [1– 3].”
BackgroundA complex systems approach to aging biology
Cohen, A. A., Ferrucci, L., Fülöp, T., Gravel, D., Hao, N., Kriete, A., Levine, M. E., Lipsitz, L. A., Olde Rikkert, M. G. M., Rutenberg, A., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00252-6 · Cited by 221 · cited 1×
“Aging is widely considered to be multidimensional [1–3 , 9– 11].”
BackgroundSelf-citationMeasuring Systemic Inflammatory Regulation in Older Adults: Evidence and Utility
Bandeen-Roche, K., Walston, J. D., Huang, Y., Semba, R. D., & Ferrucci, L. (2009) · Rejuvenation Research · doi:10.1089/rej.2009.0883 · Cited by 94 · cited 2×
“PCA has been used to improve epigenetic clock reliability [24], and to analyse raw biomarker data [25, 26] and dysfunction biomarkers [27].”
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Cited by
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A damage accumulation model identifies distinct aging regimes across species
Raz, N., Yang, Y., Pridham, G., Shenhar, B., Frenkel, S., Levy, T., Tlusty, T., Mayo, A., & Alon, U. (2026) · Nature Aging · doi:10.1038/s43587-026-01138-7 · Cited by 7
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Metadata
- Authors
- Pridham, G., Rockwood, K., & Rutenberg, A.
- ORCID
- Rutenberg, Andrew
- Venue
- GeroScience
- Published
- 2023-01-27
- Volume
- 45
- Issue
- 3
- Pages
- 1687-1711
- ISSN
- 2509-2723
- Cited by
- 17
- References
- 6
- Language
- en
- Licence
- Funders
- Natural Sciences and Engineering Research Council of Canada (RGPIN 2019-05888)
- Institute of Aging (PJT-156114)
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