A tutorial on calibration measurements and calibration models for clinical prediction models.

ABSTRACT: Our primary objective is to provide the clinical informatics community with an introductory tutorial on calibration measurements and calibration models for predictive models using existing R packages and custom implemented code in R on real and simulated data. Clinical predictive model performance is commonly published based on discrimination measures, but use of models for individualized predictions requires adequate model calibration. This tutorial is intended for clinical researchers who want to evaluate predictive models in terms of their applicability to a particular population. It is also for informaticians and for software engineers who want to understand the role that calibration plays in the evaluation of a clinical predictive model, and to provide them with a solid starting point

SUBMITTER: Huang Y 

PROVIDER: S-EPMC7075534 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature