Applied Longitudinal Data Analysis for Epidemiology

In this book important techniques for longitudinal data analysis are discussed. This includes simple techniques such as the paired t-test and summary statistcs, as well as more sophisticated techniques such as generalized estimating equations and random coefficient analysis. A distinction is made between longitudinal analysis with continious, dichotomous, and categorical outcome variables. The emphasis of the discussion lies in the interpretation of the results of different techniques. Furthermore, special chapters 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 in provided. This practical guide is suitable for non-statisticians and researchers working with longitudinal data from epidemiological and clinical studies.

Pages: 301

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Edition: 01

Publisher: Cambridge University Press

Copyright: 2003

Published: 05/03

Notes: A New Edition of this Title is Available