7. Cross-Sectional Analysis of Quality of Life Outcomes
Published Online: 10 SEP 2009
DOI: 10.1002/9780470840481.ch7
Copyright © 2009 John Wiley & Sons, Ltd
Book Title
Quality of Life Outcomes in Clinical Trials and Health-Care Evaluation: A Practical Guide to Analysis and Interpretation
Additional Information
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
Publication History
- Published Online: 10 SEP 2009
- Published Print: 25 SEP 2009
Book Series:
ISBN Information
Print ISBN: 9780470753828
Online ISBN: 9780470686140
- Summary
- Chapter
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