Multivariable Analysis : A Practical Guide for Clinicians and Public Health Researchers (Paperback, 3 Revised edition)

Preface; 1. Introduction; 2. Common uses of multivariable models; 3. Outcome variables in multivariable analysis; 4. Type of independent variables in multivariable analysis; 5. Assumptions of multiple linear regression, multiple logistic regression, and proportional hazards analysis; 6. Relationship of independent variables to one another; 7. Setting up a multivariable analysis; 8. Performing the analysis; 9. Interpreting the analysis; 10. Checking the assumptions of the analysis; 11. Propensity scores; 12. Correlated observations; 13. Validation of models; 14. Special topics; 15. Publishing your study; 16. Summary: steps for constructing a multivariable model; Index.