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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
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    Chapter 1 Introduction to Binary Logistic Regression
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    Chapter 2 Short History of the Logistic Regression Model
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    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
Overall attention for this book and its chapters
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Mentioned by

news
1 news outlet

Citations

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90 Dimensions

Readers on

mendeley
97 Mendeley
Summary News Dimensions citations
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Title
Modeling Binary Correlated Responses using SAS, SPSS and R
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-23805-0
ISBNs
978-3-31-923804-3, 978-3-31-923805-0
Authors

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

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 30%
Student > Ph. D. Student 20 21%
Student > Bachelor 13 13%
Researcher 11 11%
Student > Doctoral Student 5 5%
Other 8 8%
Unknown 11 11%
Readers by discipline Count As %
Economics, Econometrics and Finance 11 11%
Psychology 10 10%
Computer Science 9 9%
Agricultural and Biological Sciences 8 8%
Social Sciences 8 8%
Other 34 35%
Unknown 17 18%

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