Introduction

The survcomp package provides functions to assess and statistically compare the performance of survival/risk prediction models. It implements state-of-the-art statistics to (i) measure the performance of risk prediction models; (ii) combine these statistical estimates from multiple datasets using a meta-analytical framework; and (iii) statistically compare the performance of competitive models.

Publications

  1. survcomp: an R/Bioconductor package for performance assessment and comparison of survival models.
    Cite this
    Schröder MS, Culhane AC, Quackenbush J, Haibe-Kains B, 2011-11-01 - Bioinformatics (Oxford, England)
  2. A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all?
    Cite this
    Haibe-Kains B, Desmedt C, Sotiriou C, Bontempi G, 2008-10-01 - Bioinformatics (Oxford, England)

Credits

  1. Markus S Schröder
    Developer

    Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, United States of America

  2. Aedín C Culhane
    Developer

  3. John Quackenbush
    Developer

  4. Benjamin Haibe-Kains
    Investigator

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Summary
AccessionBT000332
Tool TypeApplication
Category
PlatformsLinux/Unix
TechnologiesR
User InterfaceTerminal Command Line
Download Count0
Submitted ByBenjamin Haibe-Kains