Logistic Regression: A Self-Learning Text

✍ Scribed by David G. Kleinbaum (auth.)

Publisher: Springer New York
Year: 1994
Tongue: English
Leaves: 291
Series: Statistics in the Health sciences
Category: Library

No coin nor oath required. For personal study only.

✦ Table of Contents

Front Matter....Pages i-xiii
Introduction to Logistic Regression....Pages 1-38
Important Special Cases of the Logistic Model....Pages 39-72
Computing the Odds Ratio in Logistic Regression....Pages 73-99
Maximum Likelihood Techniques: An Overview....Pages 101-124
Statistical Inferences Using Maximum Likelihood Techniques....Pages 125-160
Modeling Strategy Guidelines....Pages 161-189
Modeling Strategy for Assessing Interaction and Confounding....Pages 191-226
Analysis of Matched Data Using Logistic Regression....Pages 227-251
Back Matter....Pages 253-282

✦ Subjects

Statistics for Life Sciences, Medicine, Health Sciences; Physiological, Cellular and Medical Topics

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