Prediction in Survival Analysis: Model or Medic?

Robin Henderson and Margaret Jones
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Robin Henderson: Newcastle University, Department of Mathematics and Statistics
Margaret Jones: Newcastle University, Department of Mathematics and Statistics

A chapter in Lifetime Data: Models in Reliability and Survival Analysis, 1996, pp 125-129 from Springer

Abstract: Abstract Subjective survival time predictions were obtained from experienced physicians for two groups of lung cancer patients. Predictions are compared with outcome by means of a non-standard loss function, which is also used to assess the accuracy of objective predictions based on proportional hazards models. Neither subjective nor objective predictions are particularly impressive. It is shown that the proportion of variation which can be explained by a proportional hazards model will invariably be relatively low as a result of the underlying assumptions, and hence point predictions should be expected to be relatively inaccurate for this family of models.

Keywords: Point Prediction; Single Covariate; Censor Survival Data; Lung Cancer Data; Baseline Survivor Function (search for similar items in EconPapers)
Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4757-5654-8_18

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DOI: 10.1007/978-1-4757-5654-8_18

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