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Regression Modeling Strategies

Overview of attention for book
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 Resampling, Validating, Describing, and Simplifying the Model
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    Chapter 6 S-Plus Software
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    Chapter 7 Case Study in Least Squares Fitting and Interpretation of a Linear Model
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    Chapter 8 Case Study in Imputation and 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 Logistic Model Case Study 1: 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 Models Using Nonparametric Transformations of X and Y
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    Chapter 16 Introduction to Survival Analysis
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    Chapter 17 Parametric Survival Models
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    Chapter 18 Case Study in Parametric Survival Modeling and Model Approximation
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    Chapter 19 Cox Proportional Hazards Regression Model
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    Chapter 20 Case Study in Cox Regression
Attention for Chapter 17: Parametric Survival Models
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Citations

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Chapter title
Parametric Survival Models
Chapter number 17
Book title
Regression Modeling Strategies
Published by
Springer, New York, NY, January 2001
DOI 10.1007/978-1-4757-3462-1_17
Book ISBNs
978-1-4419-2918-1, 978-1-4757-3462-1
Authors

Frank E. Harrell

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 28%
Researcher 6 21%
Student > Bachelor 2 7%
Student > Master 2 7%
Other 1 3%
Other 2 7%
Unknown 8 28%
Readers by discipline Count As %
Medicine and Dentistry 6 21%
Computer Science 3 10%
Agricultural and Biological Sciences 2 7%
Mathematics 1 3%
Economics, Econometrics and Finance 1 3%
Other 3 10%
Unknown 13 45%

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