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Regression Modeling Strategies

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Cover of 'Regression Modeling Strategies'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 General Aspects of Fitting Regression Models
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    Chapter 3 Missing Data
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    Chapter 4 Multivariable Modeling Strategies
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    Chapter 5 Describing, Resampling, Validating, and Simplifying the Model
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    Chapter 6 R Software
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    Chapter 7 Modeling Longitudinal Responses using Generalized Least Squares
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    Chapter 8 Case Study in Data Reduction
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    Chapter 9 Overview of Maximum Likelihood Estimation
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    Chapter 10 Binary Logistic Regression
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    Chapter 11 Case Study in Binary Logistic Regression, Model Selection and Approximation: Predicting Cause of Death
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    Chapter 12 Logistic Model Case Study 2: Survival of Titanic Passengers
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    Chapter 13 Ordinal Logistic Regression
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    Chapter 14 Case Study in Ordinal Regression, Data Reduction, and Penalization
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    Chapter 15 Regression Models for Continuous Y and Case Study in Ordinal Regression
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    Chapter 16 Transform-Both-Sides Regression
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    Chapter 17 Introduction to Survival Analysis
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    Chapter 18 Parametric Survival Models
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    Chapter 19 Case Study in Parametric Survival Modeling and Model Approximation
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    Chapter 20 Cox Proportional Hazards Regression Model
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    Chapter 21 Case Study in Cox Regression
Attention for Chapter 10: Binary Logistic Regression
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Chapter title
Binary Logistic Regression
Chapter number 10
Book title
Regression Modeling Strategies
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-19425-7_10
Book ISBNs
978-3-31-919424-0, 978-3-31-919425-7
Authors

Frank E. HarrellJr., Frank E. Harrell, Harrell, Frank E.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Nigeria 1 <1%
Unknown 134 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 14%
Student > Ph. D. Student 16 12%
Student > Bachelor 11 8%
Researcher 11 8%
Lecturer 6 4%
Other 13 10%
Unknown 60 44%
Readers by discipline Count As %
Social Sciences 11 8%
Mathematics 8 6%
Engineering 8 6%
Medicine and Dentistry 6 4%
Computer Science 6 4%
Other 36 26%
Unknown 61 45%