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General Concepts. 2. Simple Linear Regression. 3. Regression with Two Independent Variables. 4. Multivariable Regression. 5. Analysis of Covariance. 6. Linear Discriminant Analysis. 7. Principal Components. 8. Contingency Table Analysis I. 9. Contingency Table Analysis II. 10. Logistic Regression Analysis. 11. Survival Data Analysis. 12. Analysis of Rates with Poisson Regression.
Bartleson et al. (Sun,) studied this question.