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Analyzing Medical Data Using S-PLUS

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Cover of 'Analyzing Medical Data Using S-PLUS'

Table of Contents

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    Book Overview
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    Chapter 1 Prologue: Medical Statistics
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    Chapter 2 An Introduction to S-PLUS
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    Chapter 3 Describing Data
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    Chapter 4 Basic Inference
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    Chapter 5 Scatterplots, Simple Regression and Smoothing
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    Chapter 6 Analysis of Variance and Covariance
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    Chapter 7 The Analysis of Longitudinal Data
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    Chapter 8 More Graphics
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    Chapter 9 Multiple Linear Regression
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    Chapter 10 Generalized Linear Models I: Logistic Regression
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    Chapter 11 Generalised linear models II: Poisson regression
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    Chapter 12 Linear Mixed Models I
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    Chapter 13 Linear Mixed Models II
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    Chapter 14 Generalized Additive Models
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    Chapter 15 Nonlinear models
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    Chapter 16 Regression Trees
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    Chapter 17 Survival Analysis I
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    Chapter 18 Survival Analysis II: Cox’s Regression
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    Chapter 19 Principal Components and Factor Analysis
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    Chapter 20 Cluster Analysis
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    Chapter 21 Discriminant Function Analysis
Attention for Chapter 10: Generalized Linear Models I: Logistic Regression
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Chapter title
Generalized Linear Models I: Logistic Regression
Chapter number 10
Book title
Analyzing Medical Data Using S-PLUS
Published by
Springer, New York, NY, January 2001
DOI 10.1007/978-1-4757-3285-6_10
Book ISBNs
978-1-4419-3176-4, 978-1-4757-3285-6
Authors

Brian Everitt, Sophia Rabe-Hesketh

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 44%
Researcher 4 44%
Student > Postgraduate 1 11%
Readers by discipline Count As %
Linguistics 2 22%
Agricultural and Biological Sciences 2 22%
Nursing and Health Professions 1 11%
Earth and Planetary Sciences 1 11%
Medicine and Dentistry 1 11%
Other 0 0%
Unknown 2 22%

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