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Logistic Regression

Overview of attention for book
Cover of 'Logistic Regression'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Logistic Regression
  3. Altmetric Badge
    Chapter 2 Important Special Cases of the Logistic Model
  4. Altmetric Badge
    Chapter 3 Computing the Odds Ratio in Logistic Regression
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    Chapter 4 Maximum Likelihood Techniques: An Overview
  6. Altmetric Badge
    Chapter 5 Statistical Inferences Using Maximum Likelihood Techniques
  7. Altmetric Badge
    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 3: Computing the Odds Ratio in Logistic Regression
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6 Mendeley
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Chapter title
Computing the Odds Ratio in Logistic Regression
Chapter number 3
Book title
Logistic Regression
Published by
Springer, New York, NY, January 2010
DOI 10.1007/978-1-4419-1742-3_3
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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 17%
Lecturer 1 17%
Student > Doctoral Student 1 17%
Researcher 1 17%
Professor > Associate Professor 1 17%
Other 1 17%
Readers by discipline Count As %
Social Sciences 2 33%
Mathematics 1 17%
Veterinary Science and Veterinary Medicine 1 17%
Computer Science 1 17%
Nursing and Health Professions 1 17%
Other 0 0%

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