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Logistic Regression

Overview of attention for book
Cover of 'Logistic Regression'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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 1: Introduction to Logistic Regression
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Readers on

mendeley
107 Mendeley
Summary
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Chapter title
Introduction to Logistic Regression
Chapter number 1
Book title
Logistic Regression
Published by
Springer, New York, NY, January 2010
DOI 10.1007/978-1-4419-1742-3_1
Book ISBNs
978-1-4419-1741-6, 978-1-4419-1742-3
Authors

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

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 <1%
Unknown 106 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 19%
Student > Master 17 16%
Student > Bachelor 10 9%
Researcher 9 8%
Student > Doctoral Student 7 7%
Other 20 19%
Unknown 24 22%
Readers by discipline Count As %
Computer Science 20 19%
Engineering 16 15%
Agricultural and Biological Sciences 11 10%
Nursing and Health Professions 5 5%
Business, Management and Accounting 4 4%
Other 27 25%
Unknown 24 22%

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