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Clinical Prediction Models

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Cover of 'Clinical Prediction Models'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction
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    Chapter 2 Applications of prediction models
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    Chapter 3 Study design for prediction models
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    Chapter 4 Statistical Models for Prediction
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    Chapter 5 Overfitting and optimism in prediction models
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    Chapter 6 Choosing between alternative statistical models
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    Chapter 7 Dealing with missing values
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    Chapter 8 Case study on dealing with missing values
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    Chapter 9 Coding of Categorical and Continuous Predictors
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    Chapter 10 Restrictions on candidate predictors
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    Chapter 11 Selection of main effects
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    Chapter 12 Assumptions in regression models:Additivity and linearity
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    Chapter 13 Modern estimation methods
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    Chapter 14 Estimation with external information
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    Chapter 15 Evaluation of performance
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    Chapter 16 Clinical Usefulness
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    Chapter 17 Validation of Prediction Models
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    Chapter 18 Presentation formats
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    Chapter 19 Patterns of external validity
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    Chapter 20 Updating for a new setting
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    Chapter 21 Updating for multiple settings
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    Chapter 22 Prediction of a binary outcome:30-day mortality after acute myocardial infarction
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    Chapter 23 Case study on survival analysis:prediction of secondary cardiovascular events
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    Chapter 24 Lessons from case studies
Attention for Chapter 20: Updating for a new setting
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Chapter title
Updating for a new setting
Chapter number 20
Book title
Clinical Prediction Models
Published by
Springer, New York, NY, January 2009
DOI 10.1007/978-0-387-77244-8_20
Book ISBNs
978-0-387-77243-1, 978-0-387-77244-8
Authors

E.W. Steyerberg

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Professor 1 14%
Student > Doctoral Student 1 14%
Other 1 14%
Researcher 1 14%
Other 1 14%
Readers by discipline Count As %
Medicine and Dentistry 6 86%
Mathematics 1 14%