Chapter 14. Modelling Longitudinal Data

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

Published Online: 27 APR 2007

DOI: 10.1002/9780470024522.ch14

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

How to Cite

Fayers, P. M. and Machin, D. (2007) Modelling Longitudinal 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.ch14

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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Keywords:

  • modelling longitudinal data;
  • auto-correlation matrix;
  • exchangeable or compound symmetric;
  • repeated-measures ANOVA;
  • ANOVA methodology in unbalanced situations;
  • Treatment × Time interaction;
  • pre-treatment QoL or baseline assessment;
  • multivariate analysis of variance or MANOVA

Summary

This chapter contains sections titled:

  • Preliminaries

  • Auto-correlation

  • Repeated measures

  • Other situations

  • Modelling versus area under the curve

  • Conclusions