Logistic Regression A Self-Learning Text /

• Κύριοι συγγραφείς: Kleinbaum, David G. (Συγγραφέας), Klein, Mitchel (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2010.
• Σειρά: Statistics for Biology and Health,
• Θέματα: Statistics.; Epidemiology.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.

This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecturer. This edition includes three new chapters, an updated com...

Πίνακας περιεχομένων:

• to Logistic Regression
• Important Special Cases of the Logistic Model
• Computing the Odds Ratio in Logistic Regression
• Maximum Likelihood Techniques: An Overview
• Statistical Inferences Using Maximum Likelihood Techniques
• Modeling Strategy Guidelines
• Modeling Strategy for Assessing Interaction and Confounding
• Additional Modeling Strategy Issues
• Assessing Goodness of Fit for Logistic Regression
• Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves
• Analysis of Matched Data Using Logistic Regression
• Polytomous Logistic Regression
• Ordinal Logistic Regression
• Logistic Regression for Correlated Data: GEE
• GEE Examples
• Other Approaches for Analysis of Correlated Data.