Applied longitudinal data analysis for epidemiology : a practical guide
A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers
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| Format: | Book |
| Language: | English |
| Published: |
Cambridge, England :
Cambridge University Press ,
c2013
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| Edition: | 2nd ed |
| Subjects: |
Table of Contents:
- 1. Introduction
- 2. Study design
- 3. Continuous outcome variables
- 4. Continuous outcome variables - relationships with other variables
- 5. The modeling of time
- 6. Other possibilities for modeling 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