Comparison of the performance of neural network methods and Cox regression for censored survival data.

DOI10.1016/S0167-9473(99)00098-5zbMath1054.62590WikidataQ126570489 ScholiaQ126570489MaRDI QIDQ1583072

R. Smith

Publication date: 26 October 2000

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

zbMATH Keywords

Neural networkMonte Carlo simulationCox regression

Mathematics Subject Classification ID

Censored data models (62N01) Monte Carlo methods (65C05) Neural nets and related approaches to inference from stochastic processes (62M45)

Related Items (5)

Deep learning for the partially linear Cox model ⋮ Unnamed Item ⋮ A comparison of parametric and semi-parametric survival models with artificial neural networks ⋮ Nonlinear survival regression using artificial neural network ⋮ Comparison of the performance of multi-layer perceptron and linear regression for epidemiological data

Cites Work

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• Multilayer feedforward networks are universal approximators
• The maximum likelihood neural network as a statistical classification model
• Linear regression with censored data

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