Quantifying predictive accuracy in survival models

Academic Article

Abstract

  • For time-to-event outcomes in medical research, survival models are the most appropriate to use. Unlike logistic regression models, quantifying the predictive accuracy of these models is not a trivial task. We present the classes of concordance (C) statistics and R statistics often used to assess the predictive ability of these models. The discussion focuses on Harrell’s C, Kent and O’Quigley’s R , and Royston and Sauerbrei’s R . We present similarities and differences between the statistics, discuss the software options from the most widely used statistical analysis packages, and give a practical example using the Worcester Heart Attack Study dataset. 2 2 2
  • Authors

    Published In

    Digital Object Identifier (doi)

    Pubmed Id

  • 25740870
  • Author List

  • Lirette ST; Aban I
  • Start Page

  • 1998
  • End Page

  • 2003
  • Volume

  • 24
  • Issue

  • 6