Applied Longitudinal Data Analysis for Epidemiology

A Practical Guide

Jos W. R. Twisk

316 pages, parution le 25/03/2003

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Résumé

In this book the most important techniques available for longitudinal data analysis are discussed. This discussion includes simple techniques such as the paired t-test and summary statistics, but also more sophisticated techniques such as generalised estimating equations and random coefficient analysis. A distinction is made between longitudinal analysis with continuous, dichotomous, and categorical outcome variables. It should be stressed that the emphasis of the discussion lies on the interpretation of the different techniques and on the comparison of the results of different techniques. Furthermore, special chapters will deal with the analysis of two measurements, experimental studies and the problem of missing data in longitudinal studies.

Finally, an extensive overview of (and a comparison between) different software packages is provided. It is important to realise that this book is a practical guide and especially suitable for non-statisticians.

Contents

Introduction
Study design
Continuous outcome variables
Continuous outcome variables - relationships with other variables
Other possibilities to model longitudinal data
Dichotomous outcome variables
Categorical and 'count' outcome variables
Longitudinal studies with two measurements: the definition and analysis of change
Analysis of experimental studies
Missing data in longitudinal studies
Tracking
Software for longitudinal data-analysis
Sample size calculations

Caractéristiques techniques

	PAPIER
Éditeur(s)	Cambridge University Press
Auteur(s)	Jos W. R. Twisk
Parution	25/03/2003
Nb. de pages	316
Format	17,5 x 24,5
Couverture	Broché
Poids	645g
Intérieur	Noir et Blanc
EAN13	9780521525800
ISBN13	978-0-521-52580-0