Reduction Techniques
20
Competing Risks Pipelines
Machine Learning in Survival Analysis
Symbols and Notation
1
Introduction
Survival Analysis and Machine Learning
2
MLSA From Start to Finish
3
Machine Learning
4
Survival Analysis
5
Event-history Analysis
6
Survival Task
Evaluation
7
What are Survival Measures?
8
Discrimination Measures
9
Calibration Measures
10
Evaluating Distributions by Scoring Rules
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Evaluating Survival Time
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Choosing Measures
Models
13
Classical Models
14
Random Forests
15
Support Vector Machines
16
Boosting Methods
17
Neural Networks
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Choosing Models
Reduction Techniques
19
Reductions
20
Competing Risks Pipelines
21
Discrete Time Survival Analysis
22
Connections to Poisson Regression and Processes
23
Connections to Regression and Imputation
24
Conclusions
Exercises
References
Reduction Techniques
20
Competing Risks Pipelines
20
Competing Risks Pipelines
Abstract
TODO (150-200 WORDS)
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Reductions
21
Discrete Time Survival Analysis