Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures.

Journal: Bioinformatics (Oxford, England)
Published Date:

Abstract

MOTIVATION: In this article, we consider how to evaluate survival distribution predictions with measures of discrimination. This is non-trivial as discrimination measures are the most commonly used in survival analysis and yet there is no clear method to derive a risk prediction from a distribution prediction. We survey methods proposed in literature and software and consider their respective advantages and disadvantages.

Authors

  • Raphael Sonabend
    Department of Computer Science, Technische Universität Kaiserslautern, 67663 Kaiserslautern, Germany.
  • Andreas Bender
    Centre for Molecular Informatics, Yusuf Hamied Department of Chemistry, University of Cambridge UK ab454@cam.ac.uk.
  • Sebastian Vollmer
    Alan Turing Institute, Kings Cross, London, UK.