Applied longitudinal data analysis for epidemiology : 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.
"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 surpr...
Saved in:
| : | |
|---|---|
| TeilnehmendeR: | |
| Year of Publication: | 2013 |
| Edition: | 2nd ed. |
| Language: | English |
| Online Access: | |
| Physical Description: | xiv, 321 p. :; ill. |
| Notes: | First published 2003. |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
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.