Risk Models for Breast Cancer and Their Validation.

ABSTRACT: Strategies to prevent cancer and diagnose it early when it is most treatable are needed to reduce the public health burden from rising disease incidence. Risk assessment is playing an increasingly important role in targeting individuals in need of such interventions. For breast cancer many individual risk factors have been well understood for a long time, but the development of a fully comprehensive risk model has not been straightforward, in part because there have been limited data where joint effects of an extensive set of risk factors may be estimated with precision. In this article we first review the approach taken to develop the IBIS (Tyrer-Cuzick) model, and describe recent updates. We then review and develop methods to assess calibration of models such as this one, where the risk

SUBMITTER: Brentnall AR 

PROVIDER: S-EPMC7100774 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature