Perfect for medical, public health, epidemiology and health service health workers at all levels from student upwards, this book offers everything you need to conduct statistical analysis without complex math. By employing user-friendly software to analyze your data, ensure you always draw the right conclusions with this essential guide.
Perfect for medical, public health, epidemiology and health service health workers at all levels from student upwards, this book offers everything you need to conduct statistical analysis without complex math. By employing user-friendly software to analyze your data, ensure you always draw the right conclusions with this essential guide.
Dr. Mitchell Katz is the President and CEO of New York City Health + Hospitals, the largest municipal hospital system in the United States. He is also the Deputy Editor of JAMA Internal Medicine. He is an elected member of the National Academy of Medicine. He is a practicing internal medicine physician.
Inhaltsangabe
1. Introduction 2. Common uses of multivariable models 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 results 9. Delving deeper: checking the underlying assumptions of the analysis 10. Propensity scores 11. Correlated observations 12. Sensitivity Analysis 13. Validation of models 14. Special topics 15. Publishing your study 16. Summary: Steps for constructing a multivariable model Index.
1. Introduction 2. Common uses of multivariable models 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 results 9. Delving deeper: checking the underlying assumptions of the analysis 10. Propensity scores 11. Correlated observations 12. Sensitivity Analysis 13. Validation of models 14. Special topics 15. Publishing your study 16. Summary: Steps for constructing a multivariable model Index.
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