Table of Contents

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   Book Overview
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   Chapter 1 Introduction
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   Chapter 2 Applications of Prediction Models
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   Chapter 3 Study Design for Prediction Modeling
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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 Models
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   Chapter 7 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 Evaluation of 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 Case Study on a Prediction of 30-Day Mortality
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    Chapter 23 Case Study on Survival Analysis: Prediction of Cardiovascular Events
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    Chapter 24 Overall Lessons and Data Sets