Statistical methods for validation of predictive models.

Journal: Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Published Date:

Abstract

Predictive models are widely used in clinical practice. Despite of the increasing number of published AI systems, recent systematic reviews have identified lack of statistical rigor in the development and validation of predictive models. This work reviewed the current literature for predictive performance measures and resampling methods. Furthermore, common pitfalls were discussed.

Authors

  • Marcio Augusto Diniz
    Biostatistics and Bioinformatics Research Center, Cedars-Sinai Medical Center, Los Angeles, USA. marcio.diniz@cshs.org.