Applied longitudinal data analysis for epidemiology : a practical guide /

"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...

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Bibliographic Details
Main Author: Twisk, Jos W. R.
Format: Printed Book
Language:English
Edition:Second Edition.
Series:Cambridge medicine
Subjects:
Epidemiology > Longitudinal studies.
Epidemiology > Research > Statistical methods.
Epidemiology > Statistical methods.
MEDICAL / Epidemiology
Online Access:Cover image
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.

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