Part II: Developing Valid Prediction Models
13
Modern Estimation Methods
Preface
1
Introduction
Part I: Prediction Models in Medicine
2
Applications of Prediction Models
3
Study Design for Prediction Modeling
4
Statistical Models for Prediction
5
Overfitting and Optimism in Prediction Models
6
Choosing Between Alternative Models
Part II: Developing Valid Prediction Models
7
Missing values
8
Case Study on Dealing with Missing Values
9
Coding of Categorical and Continuous Predictors
10
Restrictions on Candidate Predictors
11
Selection of Main Effects
12
Assumptions in Regression Models - Additivity and Linearity
13
Modern Estimation Methods
14
Estimation with External Information
15
Evaluation of Performance
16
Evaluation of Clinical Usefulness
17
Validation of Prediction Models
18
Presentation Formats
Part III: Generalizability of Prediction Models
19
Patterns of External Validity
20
Updating for a New Setting
21
Updating for Multiple Settings
Part IV: Applications
22
Case Study on a Prediction of 30-Day Mortality
23
Case Study on Survival Analysis: Prediction of Cardiovascular Event
24
Overall Lessons and Data Sets
Part II: Developing Valid Prediction Models
13
Modern Estimation Methods
13
Modern Estimation Methods
Chapter 13 additional material upcoming.
12
Assumptions in Regression Models - Additivity and Linearity
14
Estimation with External Information