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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 18: Parametric Survival Models
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Citations

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Chapter title
Parametric Survival Models
Chapter number 18
Book title
Regression Modeling Strategies
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-19425-7_18
Book ISBNs
978-3-31-919424-0, 978-3-31-919425-7
Authors

Frank E. HarrellJr., Frank E. Harrell

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 366 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 2%
Canada 4 1%
Switzerland 2 <1%
Germany 1 <1%
France 1 <1%
Macao 1 <1%
South Africa 1 <1%
Portugal 1 <1%
Uganda 1 <1%
Other 3 <1%
Unknown 344 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 100 27%
Researcher 68 19%
Student > Master 41 11%
Student > Doctoral Student 31 8%
Student > Bachelor 22 6%
Other 69 19%
Unknown 35 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 15%
Mathematics 50 14%
Medicine and Dentistry 43 12%
Economics, Econometrics and Finance 28 8%
Social Sciences 26 7%
Other 106 29%
Unknown 59 16%