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Modeling Binary Correlated Responses using SAS, SPSS and R

Overview of attention for book
Cover of 'Modeling Binary Correlated Responses using SAS, SPSS and R'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Binary Logistic Regression
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    Chapter 2 Short History of the Logistic Regression Model
  4. Altmetric Badge
    Chapter 3 Standard Binary Logistic Regression Model
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    Chapter 4 Overdispersed Logistic Regression Model
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    Chapter 5 Weighted Logistic Regression Model
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    Chapter 6 Generalized Estimating Equations Logistic Regression
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    Chapter 7 Generalized Method of Moments Logistic Regression Model
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    Chapter 8 Exact Logistic Regression Model
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    Chapter 9 Two-Level Nested Logistic Regression Model
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    Chapter 10 Hierarchical Logistic Regression Models
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    Chapter 11 Fixed Effects Logistic Regression Model
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    Chapter 12 Heteroscedastic Logistic Regression Model
Attention for Chapter 3: Standard Binary Logistic Regression Model
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Readers on

mendeley
49 Mendeley
Summary
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Chapter title
Standard Binary Logistic Regression Model
Chapter number 3
Book title
Modeling Binary Correlated Responses using SAS, SPSS and R
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-23805-0_3
Book ISBNs
978-3-31-923804-3, 978-3-31-923805-0
Authors

Jeffrey R. Wilson, Kent A. Lorenz, Wilson, Jeffrey R., Lorenz, Kent A.

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 14%
Student > Bachelor 7 14%
Student > Ph. D. Student 6 12%
Researcher 3 6%
Student > Doctoral Student 2 4%
Other 7 14%
Unknown 17 35%
Readers by discipline Count As %
Economics, Econometrics and Finance 5 10%
Social Sciences 5 10%
Agricultural and Biological Sciences 4 8%
Business, Management and Accounting 3 6%
Computer Science 3 6%
Other 10 20%
Unknown 19 39%

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