Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide

by Jos W. R. Twisk

• ISBN13: 9780521819763
• ISBN10: 0521819768
• Format: Hardcover
• Copyright: 2003-04-28
• Publisher: Cambridge University Press

Summary

The most important techniques available for longitudinal data analysis are discussed in this book. The discussion includes simple techniques such as the paired t-test and summary statistics, but also more sophisticated techniques such as generalized estimating equations and random coefficient analysis. A distinction is made between longitudinal analysis with continuous, dichotomous, and categorical outcome variables. This practical guide is especially suitable for non-statisticians and all those undertaking medical research or epidemiological studies.

Author Biography

Jos W. R. Twisk is senior researcher and lecturer in the Department of Clinical Epidemiology and Biostatistics and the Institute for Research in Extramural Medicine, Vrije Universiteit, Medical Centre, Amsterdam.

Table of Contents

1. Introduction

2. Study design

3. Continuous outcome variables

4. Continuous outcome variables - relationships with other variables

5. Other possibilities to model longitudinal data

6. Dichotomous outcome variables

7. Categorical and 'count' outcome variables

8. Longitudinal studies with two measurements: the definition and analysis of change

9. Analysis of experimental studies

10. Missing data in longitudinal studies

11. Tracking

12. Software for longitudinal data-analysis

13. Sample size calculations

Index.