John Cologne


Department of Statistics


Dr. Cologne is a consulting biostatistician trained in environmental risk assessment and clinical biostatistics whose primary interest is in applying, adapting, extending, or developing statistical methodology for epidemiological and clinical studies of disease risk. In addition to traditional biostatistics methods (observational study design, analysis of cohort follow-up and case-control data, event-time and longitudinal data analysis, and general regression modeling), he has applied high-dimensional genomic data methods to study gene sets and pathways with SNP data and has implemented causal models to study risk factor effects on observed or latent clinical outcomes with potential mediation. Dr. Cologne has also led the effort in the Department of Statistics to ensure that work conforms to current standards of reproducible research through use of RStudio and Stata dynamic document facilities.


ELS, Board of Editors in the Life Sciences
PhD, Biostatistics, University of Washington
MS, Biostatistics, University of Washington
MS, Statistics, Dept. of Mathematics, University of California, San Diego
BA, Biology, UCLA


Radiation Effects Research Foundation, Department of Statistics
  • 2009-

    Senior Scientist

  • 2007-2009


  • 2006-2007

    Senior Scientist

  • 2005-2006

    Acting Department Chief

  • 2003-2005

    Assistant Department Chief

  • 1998-2003

    Senior Scientist

  • 1994-1998

    Associate Senior Scientist

  • 1989-1994

    Research Scientist

School of Public Health, University of Washington, Seattle, WA
  • 1984-1989

    Research/Teaching Assistant, Department of Biostatistics

NOAA, Southwest Fisheries Center, La Jolla, California
  • 1983-1984

    Biostatistician, Marine Mammal Population Survey Studies

University of California, San Diego, School of Medicine, Department of Surgery
  • 1977-1983

    Laboratory Research Associate

Selected publications

Nakamizo T, Cologne J, Cordova K, et al. Radiation effects on atherosclerosis in atomic bomb survivors: a cross-sectional study using structural equation modeling. European Journal of Epidemiology. 2021; DOI: 10.1007/s10654-021-00731-x.
Kim YM, Cologne JB, Jang E, et al. Causal mediation analysis in nested case-control studies using conditional logistic regression. Biometrical Journal. 2020; 1-21.
Cologne J, Kim J, Sugiyama H, et al. Effect of heterogeneity in background incidence on inference about the solid-cancer radiation dose response in atomic-bomb survivors. Radiation Research. 2019; 192(4):388-398.
Cologne J, Takahashi I, French B, et al. Association of weight fluctuation with mortality in Japanese adults. JAMA Network Open. 2019; 2(3):e190731.
Cologne J, Furukawa K, Grant EJ, Abbott RD. Effects of omitting non-confounding predictors from general relative-risk models for binary outcomes. Journal of Epidemiology. 2019; 29(3):116-122.
Barlow WE, Cologne JB. Alternative formulation of models in case-control studies. Chapter 11 in: Borgan Ø, Breslow NE, Chatterjee N, Gail MH, Scott A, Wild CJ, eds. Handbook of Statistical Methods for Case-Control Studies. Boca Raton: FL: CRC Press; 2018.
Cologne J, Loo L, Shvetsov Y, et al. Stepwise approach to SNP-set analysis illustrated with the Metabochip and colorectal cancer in Japanese Americans of the Multiethnic Cohort. BMC Genomics 2018; 19:524.
Cologne J, Preston DL, Grant EJ, Cullings HM, Ozasa K. Effect of follow-up period on minimal-significant dose in the atomic-bomb survivor studies. Radiation and Environmental Biophysics. 2018; 57(1):83-88.
Cologne J, Preston DL, Imai K, et al. Conventional methods of case-cohort study design and analysis for studies of interaction. International Journal of Epidemiology. 2012; 41:1174-1186.
Cologne J, Hsu W-L, Abbott RD, et al. Proportional hazards regression in epidemiologic follow-up studies: an intuitive consideration of primary time scale. Epidemiology. 2012; 23:565-573.