Cancer Risk Prediction Models: A Workshop on Development, Evaluation, and Application

Andrew N. Freedman, Daniela Seminara, Mitchell H. Gail, Patricia Hartge, Graham A. Colditz, Rachel Ballard-Barbash, Ruth M. Pfeiffer
2005 Journal of the National Cancer Institute  
Goals and Objectives: • Identify cancer risk prediction model applications and their usefulness in planning intervention trials; estimating the population burden of disease; creating benefit/risk indices and clinical decision making processes; and designing prevention strategies • Discuss the strengths and limitations of cancer risk prediction models in current use and under development • Discuss methodological issues relevant to the evaluation, validation, and discrimination of cancer risk
more » ... of cancer risk prediction models • Identify ways to improve current and future cancer risk prediction models, incorporating new clinical, environmental, and genetic data • Identify research needs and population data resources for future cancer risk prediction modeling and validation; disseminate this information to the scientific community
doi:10.1093/jnci/dji128 pmid:15900041 fatcat:c6rdtx63ujgv5hdvb5gsaqzp6y