2. Key Measures and Results

  1. Stephane Heritier1,
  2. Eva Cantoni2,
  3. Samuel Copt3 and
  4. Maria-Pia Victoria-Feser4

Published Online: 1 DEC 2010

DOI: 10.1002/9780470740538.ch2

Robust Methods in Biostatistics

Robust Methods in Biostatistics

How to Cite

Heritier, S., Cantoni, E., Copt, S. and Victoria-Feser, M.-P. (2009) Key Measures and Results, in Robust Methods in Biostatistics, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470740538.ch2

Author Information

  1. 1

    The George Institute for International Health, University of Sydney, Australia

  2. 2

    Department of Econometrics, University of Geneva, Switzerland

  3. 3

    Merck Serono International, Geneva, Switzerland

  4. 4

    HEC Section, University of Geneva, Switzerland

Publication History

  1. Published Online: 1 DEC 2010
  2. Published Print: 17 APR 2009

ISBN Information

Print ISBN: 9780470027264

Online ISBN: 9780470740538



  • modern robust statistics;
  • fundamental tools and key measures and results;
  • Hampel's IF - generalizing sensitivity curve concept;
  • statistical tools for measuring robustness properties;
  • robust statistics aiming at test statistics with stable level and power;
  • empirical influence function;
  • tools for measuring robustness properties;
  • robust estimation – general approaches;
  • statistical tools for measuring robustness properties;
  • robust testing approaches


This chapter contains sections titled:

  • Introduction

  • Statistical Tools for Measuring Robustness Properties

  • General Approaches for Robust Estimation

  • Statistical Tools for Measuring Tests Robustness

  • General Approaches for Robust Testing