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About this book
This text is appropriate for a course covering intermediate statistical methods in a practical and mathematically intuitive (no calculus) mode. It focuses on the following analysis methods useful to the researcher: linear regression, discriminant analysis, contingency tables, survival analysis, covariance, principal components, logistic regression and Poisson regression.
Contents
1. 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.
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