Errata
Preface
Prognostic models for survival data using (clinical) information available at baseline, based on the Cox model
1
The special nature of survival data
2
Cox regression model
3
Measuring the predictive value of a Cox model
4
Calibration and revision of Cox models
Prognostic models for survival data using (clinical) information available at baseline, when the proportional hazards assumption of the Cox model is violated
5
Mechanisms explaining violation of the Cox model
6
Non-proportional hazards models
7
Dealing with non-proportional hazards
Dynamic prognostic models for survival data using time-dependent information
8
Dynamic predictions using biomarkers
9
Dynamic prediction in multi-state models
10
Dynamic prediction in chronic disease
Dynamic prognostic models for survival data using genomic data
11
Penalized Cox models
12
Dynamic prediction based on genomic data
Errata
Table of contents
Chapter 2
Chapter 3
Report an issue
Errata
Chapter 2
(If any)
Chapter 3
etc.
12
Dynamic prediction based on genomic data