title: Risk assessment models to estimate cancer probabilities.
abstract: Cancer risk has become a significant research topic due to an increase in statistical risk models built to predict cancer incidence or mortality. Over the past 3 years, 15 models on the development of different types of cancer, including breast, colorectal, prostate, gastric, lung, ovarian, pancreatic, testicular, and skin, have been published. Risk assessment models are dynamic; they need to be updated as often as risks are discovered or changed. Not only are cancer risk models challenging to build, but, due to literacy-related issues, the cancer risk itself is challenging to communicate to the public. Clearly, guidelines outlining how to create valid and reliable risk assessment models are needed.
authors.affiliation: School of Nursing, Community and Family Medicine, Duke University, 307 Trent Drive, DUMC 3322, Durham, NC 27710, USA. constance.johnson@duke.edu
authors.forename: Constance M
authors.initials: CM
authors.lastname: Johnson
authors.forename: Derek
authors.initials: D
authors.lastname: Smolenski
mesh_terms: D006801:Humans; D015233:Models, Statistical; D009369:Neoplasms / Q000453:epidemiology*; D011336:Probability; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors