Chapter 15. Missing Data

  1. Peter M. Fayers1,2,
  2. David Machin3,4,5

Published Online: 27 APR 2007

DOI: 10.1002/9780470024522.ch15

Book Title

Quality of Life: The Assessment, Analysis and Interpretation of Patient-Reported Outcomes, Second edition

Quality of Life: The Assessment, Analysis and Interpretation of Patient-Reported Outcomes, Second edition

Additional Information

How to Cite

Fayers, P. M. and Machin, D. (2007) Missing Data, in Quality of Life: The Assessment, Analysis and Interpretation of Patient-Reported Outcomes, Second edition, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470024522.ch15

Author Information

  1. 1

    University of Aberdeen Medical School, Scotland, UK

  2. 2

    Norwegian University of Science and Technology (NTNU), Trondheim, Norway

  3. 3

    Division of Clinical Trials and Epidemiological Sciences, National Cancer Centre, Singapore

  4. 4

    School of Health and Related Research, University of Sheffield, England

  5. 5

    United Kingdom Children's Cancer Study Group (UKCCSG), University of Leicester, England

Publication History

  1. Published Online: 27 APR 2007
  2. Published Print: 2 MAR 2007

ISBN Information

Print ISBN: 9780470024508

Online ISBN: 9780470024522

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CHAPTER TOOLS

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Keywords:

  • missing QoL assessment data;
  • standard complete-data methods;
  • t-test or Mann–Whitney test;
  • complete-case and available-case analyses;
  • missing completely at random (MCAR);
  • simple mean imputation and regression imputation;
  • sensitivity analysis

Summary

This chapter contains sections titled:

  • Introduction

  • Types of missing data

  • Why do missing data matter?

  • Missing items

  • Methods for missing items within a form

  • Missing forms

  • Methods for missing forms

  • Comments

  • Degrees of freedom

  • Sensitivity analysis

  • Conclusions

  • Further reading

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