Survival Analysis and Machine Learning
2
MLSA From Start to Finish
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?
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Discrimination Measures
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Calibration Measures
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Evaluating Distributions by Scoring Rules
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Evaluating Survival Time
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Choosing Measures
Models
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Classical Models
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Random Forests
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Support Vector Machines
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Boosting Methods
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Neural Networks
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Choosing Models
Reduction Techniques
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Reductions
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Competing Risks Pipelines
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Discrete Time Survival Analysis
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Connections to Poisson Regression and Processes
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Connections to Regression and Imputation
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Conclusions
Exercises
References
Survival Analysis and Machine Learning
2
MLSA From Start to Finish
2
MLSA From Start to Finish
Abstract
TODO (150-200 WORDS)
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1
Introduction
3
Machine Learning