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Logistic Regression

Overview of attention for book
Cover of 'Logistic Regression'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Logistic Regression
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    Chapter 2 Important Special Cases of the Logistic Model
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    Chapter 3 Computing the Odds Ratio in Logistic Regression
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    Chapter 4 Maximum Likelihood Techniques: An Overview
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    Chapter 5 Statistical Inferences Using Maximum Likelihood Techniques
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    Chapter 6 Modeling Strategy Guidelines
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    Chapter 7 Modeling Strategy for Assessing Interaction and Confounding
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    Chapter 8 Additional Modeling Strategy Issues
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    Chapter 9 Assessing Goodness of Fit for Logistic Regression
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    Chapter 10 Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves
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    Chapter 11 Analysis of Matched Data Using Logistic Regression
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    Chapter 12 Polytomous Logistic Regression
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    Chapter 13 Ordinal Logistic Regression
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    Chapter 14 Logistic Regression for Correlated Data: GEE
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    Chapter 15 GEE Examples
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    Chapter 16 Other Approaches for Analysis of Correlated Data
Attention for Chapter 11: Analysis of Matched Data Using Logistic Regression
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Citations

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Chapter title
Analysis of Matched Data Using Logistic Regression
Chapter number 11
Book title
Logistic Regression
Published by
Springer, New York, NY, January 2010
DOI 10.1007/978-1-4419-1742-3_11
Book ISBNs
978-1-4419-1741-6, 978-1-4419-1742-3
Authors

David G. Kleinbaum, Mitchel Klein, Kleinbaum, David G., Klein, Mitchel

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 15%
Lecturer 3 11%
Researcher 3 11%
Student > Master 3 11%
Other 2 7%
Other 5 19%
Unknown 7 26%
Readers by discipline Count As %
Computer Science 4 15%
Environmental Science 3 11%
Medicine and Dentistry 2 7%
Agricultural and Biological Sciences 2 7%
Nursing and Health Professions 2 7%
Other 7 26%
Unknown 7 26%

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