Logistic Regression A Self-Learning Text

This text on logistic regression methods contains the following eight chapters: 1 Introduction to Logistic Regression 2 Important Special Cases of the Logistic Model 3 Computing the Odds Ratio in Logistic Regression 4 Maximum Likelihood Techniques: An Overview 5 Statistical Inferences Using Maximum...

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Bibliographic Details
Main Author: Kleinbaum, David G.
Format: eBook
Language:English
Published: New York, NY Springer New York 1994, 1994
Edition:1st ed. 1994
Series:Statistics for Biology and Health
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 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