Kamaryn Tanner

  • Associate Research Scientist in the Robert N. Butler Columbia Aging Center
Profile Headshot

Overview

Aging

Biostatistical Methods

Survival Analysis

Academic Appointments

  • Associate Research Scientist in the Robert N. Butler Columbia Aging Center

Credentials & Experience

Education & Training

  • BS, The Johns Hopkins University
  • MBA, The University of Chicago Booth School of Business
  • MSc, The London School of Hygiene and Tropical Medicine
  • PhD, The London School of Hygiene and Tropical Medicine

Research

Grants


Selected Publications

Franck M, Tanner KT, Tennyson RL, Daunizeau C, Ferrucci L, Bandinelli S, Trumble BC, Kaplan HS, Aronoff JE, Stieglitz J, Kraft TS, Lea AJ, Venkataraman VV, Wallace IJ, Lim YAL, Ng KS, Yeong JPS, Ho R, Lim X, Mehrjerd A, Charalambous EG, Aiello AE, Pawelec G, Franceschi C, Hertel J, Fülöp T, Lemoine M, Gurven M, Cohen AA, Nonuniversality of inflammaging across human populations. Nature Aging, 2025, 5(8):1471-1480. https://doi.org/10.1038/s43587-025-00888-0

Provost G, Tanner K, Legault V, Ferrucci L, Bandinelli S, Fried LP, Belsky DW, Laurent B, Cohen AA, No winners or losers: clinical chemistry-based biological aging metrics perform similarly across cohorts and health outcomes. J Gerontol A Biol Sci Med Sci. 2025 Aug 12;. https://doi.org/10.1093/gerona/glaf179

Tanner KT, Diaz-Ordaz K, Keogh RH. Implementation of a dynamic model updating pipeline provides a systematic process for maintaining performance of prediction models. Journal of Clinical Epidemiology. 2024 (175). https://doi.org/10.1016/j.jclinepi.2024.111531

Tanner KT, Sharples LD, Daniel RM, Keogh RH. Methods of analysis for survival outcomes with time-updated mediators, with application to longitudinal disease registry data. Statistical Methods in Medical Research. 2022; 31(10):1959-1975. doi:10.1177/09622802221107104

Tanner, KT, Daniel, RM, Bilton, D, Simmonds, NJ, Sharples, LD, Keogh, RH. Mediation of the total effect of cystic fibrosis-related diabetes on mortality: A UK Cystic Fibrosis Registry cohort study. Diabetic Medicine. 2022; 39:e14958. https://doi.org/10.1111/dme.14958

Tanner, KT, Sharples, LS, Daniel RM and Keogh, RH, Dynamic Survival Prediction Combining Landmarking with a Machine Learning Ensemble: Methodology and Empirical Comparison. Journal of the Royal Statistical Society: Series A. 2020; 184:3-30. https://doi.org/10.1111/rssa.12611

A full and up-to-date publications list can be found at: https://www.ncbi.nlm.nih.gov/myncbi/kamaryn.tanner.2/bibliography/public/