7. Cross-Sectional Analysis of Quality of Life Outcomes

  1. Stephen J. Walters

Published Online: 10 SEP 2009

DOI: 10.1002/9780470840481.ch7

Quality of Life Outcomes in Clinical Trials and Health-Care Evaluation: A Practical Guide to Analysis and Interpretation

Quality of Life Outcomes in Clinical Trials and Health-Care Evaluation: A Practical Guide to Analysis and Interpretation

How to Cite

Walters, S. J. (2009) Cross-Sectional Analysis of Quality of Life Outcomes, in Quality of Life Outcomes in Clinical Trials and Health-Care Evaluation: A Practical Guide to Analysis and Interpretation, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470840481.ch7

Author Information

  1. School of Health and Related Research, University of Sheffield, UK

Publication History

  1. Published Online: 10 SEP 2009
  2. Published Print: 25 SEP 2009

ISBN Information

Print ISBN: 9780470753828

Online ISBN: 9780470686140

SEARCH

Keywords:

  • statistical methods comparing QoL outcomes between groups;
  • QoL outcomes - for two independent groups, men and women;
  • hypothesis testing (using P-values);
  • alternative hypothesis (HA);
  • estimation (using confidence intervals);
  • choice of method of analysis for problems;
  • Mann–Whitney U-test;
  • between-groups variation and within-group variation;
  • Kruskal–Wallis test and comparing change in WOMAC pain;
  • multiple regression

Summary

This chapter contains sections titled:

  • Summary

  • Introduction

  • Hypothesis testing (using P-values)

  • Estimation (using confidence intervals)

  • Choosing the statistical method

  • Comparison of two independent groups

  • Comparing more than two groups

  • Two groups of paired observations

  • The relationship between two continuous variables

  • Correlation

  • Regression

  • Multiple regression

  • Regression or correlation?

  • Parametric versus non-parametric methods

  • Technical details: Checking the assumptions for a linear regression analysis