Table of Contents:

I PREPARATION FOR ANALYSIS

• 1. What Is Multivariate Analysis?

• 2. Characterizing Data for Analysis

• 3. Preparing for Data Analysis

• 4. Data Screening and Transformations

• 5. Selecting Appropriate Analyses

II APPLIED REGRESSSION ANALYSIS

• 6. Simple Regression and Correlation

• 7. Multiple Regression and Correlation

• 8. Variable Selection in Regression

• 9. Special Regression Topics

III MULTIVARIATE ANALYSIS

• 10. Canonical Correlation Analysis

• 11. Discriminant Analysis

• 12. Logistic Regression

• 13. Regression Analysis with Survival Data

• 14. Principal Components Analysis

• 15. Factor Analysis

• 16. Cluster Analysis

• 17. Log-Linear Analysis

• 18. Correlated Outcomes Regression

Appendix

References

Index

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