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Clinical Prediction Models
Overview of attention for book
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 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
Overall attention for this book and its chapters
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Mentioned by
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institution with syllabi
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Citations
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Book overview
1. Introduction
2. Applications of prediction models
3. Study design for prediction models
4. Statistical Models for Prediction
5. Overfitting and optimism in prediction models
6. Choosing between alternative statistical models
7. Dealing with 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. Clinical Usefulness
17. Validation of Prediction Models
18. Presentation formats
19. Patterns of external validity
20. Updating for a new setting
21. Updating for multiple settings
22. Prediction of a binary outcome:30-day mortality after acute myocardial infarction
23. Case study on survival analysis:prediction of secondary cardiovascular events
24. Lessons from case studies
Summary
X
Syllabi
Wikipedia
Q&A
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
1
syllabus from an institution on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
King's College London, University of London
1
Public Health