Kamaryn Tanner

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

Profile Navigation

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

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, Keogh RH, Coupland CAC, Hippisley-Cox J, Diaz-Ordaz K. Dynamic Updating of Clinical Survival Prediction Models in a Changing Environment. Diagnostic and Prognostic Research. 2023; 7(1):24. https://doi.org/10.1186/s41512-023-00163-z

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

Keogh, RH, Tanner, K, Simmonds, NJ and Bilton, D, The changing demography of the cystic fibrosis population: forecasting future numbers of adults in the UK. Scientific Reports, 2020, 10(10660). https://doi.org/10.1038/s41598-020-67353-3