IEEE Transactions on Neural Networks · 2009 · 16 citations · 37 references
Public HealthBiostatisticsHealth Data ScienceMachine LearningSurvival AnalysisHazard FunctionsPrognostic AssessmentSurvival FunctionsSurvival ModelingSurvival PredictionTime-dependent CovariatesCensored Data AnalysisCensored Data ModelingNeural Network ModelingNeural Network Survival ModelsPrognostic PredictionPrognostic Prediction ModelsShort-term Survival Prediction
Cox's proportional hazards model has been widely used for the analysis of treatment and prognostic effects with censored survival data. In this paper, we propose a neural network model based on bootstrapping to estimate the survival function and predict the short-term survival at any time during the course of the disease. The bootstrapping for the neural network is introduced when selecting the optimum number of hidden units and testing the goodness-of-fit. The proposed methods are illustrated using data from a long-term study of patients with primary biliary cirrhosis (PBC).
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The Statistical Analysis of Failure Time Data.
Murray Aitkin, John D. Kalbfleisch, Ross L. Prentice · Biometrics · 1981 · 10K citations