Applied longitudinal data analysis for epidemiology [electronic resource] : a practical guide / Jos W.R. Twisk, Department of Epidemiology and Biostatistics, Medical Centre and the Department of Health Sciences of the Vrije Universteit, Amsterdam.
2013
RA652.2.M3 T95 2013
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Title
Applied longitudinal data analysis for epidemiology [electronic resource] : a practical guide / Jos W.R. Twisk, Department of Epidemiology and Biostatistics, Medical Centre and the Department of Health Sciences of the Vrije Universteit, Amsterdam.
Author
Twisk, Jos W. R., 1962-
Edition
2nd ed.
ISBN
9781107030039
9781107699922
9781107058040 (electronic book)
9781107699922
9781107058040 (electronic book)
Publication Details
Cambridge : Cambridge University Press, 2013.
Language
English
Description
xiv, 321 p. : ill.
Call Number
RA652.2.M3 T95 2013
Dewey Decimal Classification
614.4
Summary
"The emphasis of this book lies more on the application of statistical techniques for longitudinal data analysis and not so much on the mathematical background. In most other books on the topic of longitudinal data analysis, the mathematical background is the major issue, which may not be surprising since (nearly) all the books on this topic have been written by statisticians. Although statisticians fully understand the difficult mathematical material underlying longitudinal data analysis, they often have difficulty in explaining this complex material in a way that is understandable for the researchers who have to use the technique or interpret the results. Therefore, this book is not written by a statistician, but by an epidemiologist. In fact, an epidemiologist is not primarily interested in the basic (difficult) mathematical background of the statistical methods, but in finding the answer to a specific research question; the epidemiologist wants to know how to apply a statistical technique and how to interpret the results. Owing to their different basic interests and different level of thinking, communication problems between statisticians and epidemiologists are quite common. This, in addition to the growing interest in longitudinal studies, initiated the writing of this book: a book on longitudinal data analysis, which is especially suitable for the "non-statistical" researcher (e.g. the epidemiologist). The aim of this book is to provide a practical guide on how to handle epidemiological data from longitudinal studies"-- Provided by publisher.
Note
First published 2003.
Bibliography, etc. Note
Includes bibliographical references and index.
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Access limited to authorized users.
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Table of Contents
Machine generated contents note: Preface; Acknowledgements; 1. Introduction; 2. Study design; 3. Continuous outcome variables; 4. Continuous outcome variables - relationships with other variables; 5. The modelling of time; 6. Other possibilities for modelling longitudinal data; 7. Dichotomous outcome variables; 8. Categorical and 'count' outcome variables; 9. Analysis data from experimental studies; 10. Missing data in longitudinal studies; 11. Sample size calculations; 12. Software for longitudinal data analysis; 13. One step further; References; Index.