Primer of Regression and Analysis of Variance
McGraw-Hill Professional (Verlag)
978-0-07-100732-0 (ISBN)
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Designed as a follow-up text to "Primer of Biostatistics" this text is for introductory biostatistics courses. It will serve to introduce more advanced statistical concepts and techniques and uses examples drawn from biomedical literature including social sciences applied to biomedical problems.
Why Do Multivariate Analysis? The First Step: Understanding Simple Linear Regression. Regression with Two or More Independent Variables. How to Use Regression Models to Do Analysis of Variance Preliminaries. Repeated Measures of Variance. Do the Assumptions Fit the Data? Selecting the "Best" Multiple Regression Equation. Other Regression Models. Nonlinear Regression. Appendices: Statistical Tables. Sample Data Steps and Control Statement for Computer Examples. Derivation of Regression Equation in Matrix Notation. Derivation of Expected Mean Squares and F Tests for Anova. Answers to Problems. Comparing Regression Lines and Planes (Afifi). Standardized Regression Coefficients. Power (N&W). Way to Denote Results in Multiple Comparisons (Backwards from How Most People Do It). Replication. When You Should Do All Possible Multiple Comparisons (ie. When There Are Significant Interaction Effects). Rank-based (Non-Parametric) Regression. 1990 ISE 320pp
| Erscheint lt. Verlag | 1.8.1990 |
|---|---|
| Sprache | englisch |
| Themenwelt | Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie |
| ISBN-10 | 0-07-100732-6 / 0071007326 |
| ISBN-13 | 978-0-07-100732-0 / 9780071007320 |
| Zustand | Neuware |
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