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The Department of Statistics

The Department of Statistics
The RERF Statistics Department provides statistical support to RERF research activities, conducts basic research on statistical methodology applicable to environmental risk assessment, and performs radiation risk analysis using state-of-the-art methods and software to produce radiation risk estimates used in radiation protection worldwide.

We are in the Hiroshima Laboratory of RERF, located atop Hijiyama Mountain, not far from downtown Hiroshima. The buildings are old, but inside we have the latest in computer technology, software, and Internet connection. Hijiyama also affords a spectacular view of Hiroshima and splendid cherry blossoms in the spring.

The Department of Statistics provides statistical support for all research activities at RERF through collaboration with researchers from other departments on study design and analysis. RERF statisticians also carry out research on many of the important and challenging statistical problems that arise in the course of analysis of the atomic bomb survivor data. Statistical research topics of ongoing interest include the development of the statistical methods, models and software for the analysis of survival data (e.g., data on cancer death rates over time); development methods that provide clear and useful summaries of the often subtle and complex radiation effects seen in the survivors; assessment of and adjustment for the effect of errors in survivor dose estimates on risk estimates; the analysis of over-dispersed data that is seen for many biological endpoints considered for evidence of the effects of radiation; and the development and application of methods for the analysis of longitudinal data from the clinical program; design and analysis of family studies; and pattern recognition problems involved in the search for evidence of radiation-induced mutations at the DNA level.

The department is also responsible for the management of the dosimetry system. This work includes: organization and management of the data and computer programs used for dose estimation and the computation of dose estimates for survivors in the RERF study groups.
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Research Scientists and their Research Interests

Harry M. Cullings, PhD, Department Chief
Radiation dosimetry, biodosimetry, and dose uncertainty
Geospatial analysis
Radiation risk models
Statistical consulting
Benjamin French, PhD, Assistant Department Chief
Longitudinal data analysis
Survival analysis
Risk prediction
Genetic epidemiology
Kyoji Furukawa, PhD
Spatial statistical modeling and analysis of environmental data
Computational statistical methods
Bayes Methods and applications to epidemiology
Munechika Misumi, PhD
Multivariate survival analysis
Multistage carcinogenesis models
Statistical consulting
John B. Cologne, PhD
Methods of statistical analysis and study design for public health and epidemiologic risk assessment
Probability of causation and loss of life for individual radiation related causes of death with competing risks
Complex models of risk including moderation and effect modification applied to observational data with efficient sampling designs
Machine learning based analysis of genomic data on cellular pathways and networks with emphasis on rare genetic variants and gene-radiation interaction
Kismet (Anna) Cordova, MPH
Statistical consulting
Effect modification including interactions of three or more predictors
Repeated measures data
Analysis and design of clinical and epidemiological studies

  Dale L. Preston
  Daniel O. Stram
  Donald A. Pierce
  Mark P. Little
  Megu Ohtaki

Expert Advisor
  Shizue Izumi
  Tatsuyuki Kakuma