Survival analysis using neural network hazard model with incomplete covariate data

Abstract

This paper presents a new procedure to perform survival analysis when some covariate data are not available. A neural network hazard model is utilized here to model the relationship between covariates and the hazard. In order to consider incomplete covariates, the hidden layer target data are represented to be binary random variables. This will enable the… (More)

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@article{Yu2011SurvivalAU, title={Survival analysis using neural network hazard model with incomplete covariate data}, author={Yi Yu and Lin Yuan Ma and Yong Sun and Yuan-Tong Gu}, journal={2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering}, year={2011}, pages={233-236} }