Applied Longitudinal Data Analysis for Epidemiology - Jos W. R. Twisk

Applied Longitudinal Data Analysis for Epidemiology

A Practical Guide

(Autor)

Buch | Hardcover
336 Seiten
2013 | 2nd Revised edition
Cambridge University Press (Verlag)
978-1-107-03003-9 (ISBN)
145,90 inkl. MwSt
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This book discusses the most important techniques available for longitudinal data analysis, emphasizing the interpretation and comparison of the results of the different techniques. New chapters cover the role of the time variable and new features of longitudinal data analysis in this updated and revised second edition.
This book discusses the most important techniques available for longitudinal data analysis, from simple techniques such as the paired t-test and summary statistics, to more sophisticated ones such as generalized estimating of equations and mixed model analysis. A distinction is made between longitudinal analysis with continuous, dichotomous and categorical outcome variables. The emphasis of the discussion lies in the interpretation and comparison of the results of the different techniques. The second edition includes new chapters on the role of the time variable and presents new features of longitudinal data analysis. Explanations have been clarified where necessary and several chapters have been completely rewritten. The analysis of data from experimental studies and the problem of missing data in longitudinal studies are discussed. Finally, an extensive overview and comparison of different software packages is provided. This practical guide is essential for non-statisticians and researchers working with longitudinal data from epidemiological and clinical studies.

Professor Dr Jos W. R. Twisk is a Professor of Applied Biostatistics and Head of the Expertise Centre of Longitudinal Data Analysis. Furthermore, he is a Senior Researcher and Lecturer in the Department of Epidemiology and Biostatistics, Vrije Universiteit Medical Centre and the Department of Health Sciences, Vrije Universteit, Amsterdam.

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.

Erscheint lt. Verlag 9.5.2013
Zusatzinfo 212 Tables, black and white; 60 Line drawings, unspecified
Verlagsort Cambridge
Sprache englisch
Maße 178 x 253 mm
Gewicht 800 g
Themenwelt Medizin / Pharmazie Gesundheitswesen
Studium Querschnittsbereiche Epidemiologie / Med. Biometrie
Studium Querschnittsbereiche Prävention / Gesundheitsförderung
Technik Medizintechnik
ISBN-10 1-107-03003-X / 110703003X
ISBN-13 978-1-107-03003-9 / 9781107030039
Zustand Neuware
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