Deep learning for survival outcomes

DOI10.1002/sim.8542zbMATH Open1546.62713MaRDI QIDQ6627429

Samantha Morrison, Jon Arni Steingrimsson

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

machine learningrestricted mean survivaldoubly robust estimationrisk estimationcensoring unbiased transformations

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Random survival forests
• A Primer on Neural Network Models for Natural Language Processing
• Linear regression with censored data
• Censored Regression: Local Linear Approximations and Their Applications
• Censoring Unbiased Regression Trees and Ensembles
• Estimating Mean Survival Time: When is it Possible?
• A Doubly Robust Censoring Unbiased Transformation

Related Items (3)

Survival analysis using deep learning with medical imaging ⋮ deepAFT: a nonlinear accelerated failure time model with artificial neural network ⋮ Estimating heterogeneous survival treatment effect in observational data using machine learning

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