Multivariable analysis : a practical guide for clinicians and public health researchers / / Mitchell H. Katz.
"Now in its third edition, this highly successful text has been fully revised and updated with expanded sections on cutting-edge techniques including Poisson regression, negative binomial regression, multinomial logistic regression and proportional odds regression. As before, it focuses on easy...
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| Year of Publication: | 2011 |
| Edition: | 3rd ed. |
| Language: | English |
| Online Access: | |
| Physical Description: | xv, 233 p. :; ill. |
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Table of Contents:
- 1. Introduction
- 2. Common uses of multivariable
- 3. Outcome variables in multivariable analysis
- 4. Independent variables in multivariable analysis
- 5. Relationship of independent variables to one another
- 6. Setting up a multivariable analysis
- 7. Performing the analysis
- 8. Interpreting the result
- 9. Delving deeper : checking the underlying assumptions of the analysis
- 10. Propensity scores
- 11. Correlated observations
- 12. Validation of models
- 13. Special topics
- 14. Publishing your study
- 15. Summary : steps for constructing a multivariable model.