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, 2002.
• Έκδοση: Second Edition.
• 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 is the second edition of this text on logistic regression methods, ori- nally published in 1994. As in the first edition, each chapter contains a presentation of its topic in “lecture-book” format together with objectives, an outline, key formulae, practice exercises, and a test. The “lecture-b...

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
• Analysis of Matched Data Using Logistic Regression
• Polytomous Logistic Regression
• Ordinal Logistic Regression
• Logistic Regresion for Correlated Data: GEE
• GEE Examples
• Other Approaches for Analysis of Correlated Data.