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.
A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.
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.
Review of the first edition: 'Overall, the book is well written, and the material is rich and carefully organised ... the book is a welcome reference manual or practical guide for practitioners of statistical methods in (but not limited to) epidemiological and clinical studies. The book's main value is in its rather comprehensive presentation of a collection of longitudinal data analyses arising from different research questions. In this sense, the book is unique. Some practitioners of statistics may have struggled to learn longitudinal data analysis by reading manuals of software packages. This book is potentially of great benefit to them.' Journal of the American Statistical Association