Elizabeth B. Claus, Ph.D, M.D., and Annette Molinaro, Ph.D., faculty members in the division of Biostatistics at the Yale School of Public Health, co–chaired a workshop on cancer risk prediction models in early March in Banff, Canada.
The workshop, held at the Banff International Research Station for Mathematical Innovation and Discovery on March 7 and 8, was attended by leading cancer researchers from the National Institutes of Health, Memorial Sloan–Kettering, Johns Hopkins University and Cambridge University.
The workshop served as a forum in which risk modeling experts identified strengths and limitations of cancer and genetic susceptibility risk prediction models currently in use and under development, and explored methodological issues related to their development, evaluation and validation. Participants also identified research priorities and developed a set of recommendations for the National Institutes of Health for future cancer risk prediction research. A Canadian colleague, Joel Dubin from the University of Waterloo, also served as co–chair.