Applied Longitudinal Data Analysis for Medical Science - A Practical Guide

"In this book the most important methods available for longitudinal data analysis are discussed. This discussion includes simple methods such as the paired t-test and summary statistics, and also more sophisticated methods such as generalized estimating equations and mixed model analysis. A distinction is made between longitudinal data analysis with continuous, dichotomous, categorical and other outcome variables"--

List of contents

1. Introduction; 2. Continuous outcome variables; 3. Continuous outcome variables - regression based methods; 4. The modelling of time; 5. Models to disentangle the between- and within-subjects relationship; 6. Causality in observational longitudinal studies; 7. Dichotomous outcome variables; 8. Categorical and count outcome variables; 9. Outcome variables with floor or ceiling effects; 10. Analysis of longitudinal intervention studies; 11. Missing data in longitudinal studies; 12. Sample size calculations; 13. Software for longitudinal data analysis.

About the author

Jos W. R. Twisk is a Professor in the Department of Epidemiology and Data Science at Amsterdam Umc, Amsterdam, The Netherlands. He specialises in the methodological field of longitudinal data analysis and multilevel/mixed model analysis, and is head of the expertise center for Applied Longitudinal Data Analysis at the Amsterdam Umc.

Summary

Discusses methods available for longitudinal data analysis in non-technical language, allowing readers to apply techniques easily to their work. Aimed at non-statisticians and researchers working in medical science and utilising longitudinal studies, the interpretation of the results of various methods of analysis is emphasised.

Product details

• Authors: Jos W R Twisk, Jos W. R. Twisk, Jos W. R. (Amsterdam University Medical Cen Twisk, Jos W. R. (Amsterdam University Medical Centers) Twisk
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Paperback / Softback
• Released: 01.05.2023
• EAN: 9781009288033
• ISBN: 978-1-0-0928803-3
• No. of pages: 300
• Subjects: Natural sciences, medicine, IT, technology > Medicine > General; Social sciences, law, business > Media, communication > Communication science; Epidemiology & medical statistics, MATHEMATICS / Probability & Statistics / General, MEDICAL / Biostatistics, MEDICAL / Epidemiology, Probability & statistics, Probability and statistics, Data analysis: general, Data science and analysis: general, Epidemiology and Medical statistics, Medical and health informatics, Medical bioinformatics, MEDICAL / Informatics