Cost Prediction Using a Survival Grouping Algorithm: An Application to Incident Prostate Cancer Cases

Eberechukwu Onukwugha (), Ran Qi, Jinani Jayasekera and Shujia Zhou

PharmacoEconomics, 2016, vol. 34, issue 2, 207-216

Abstract: The grouping algorithm developed for complex, large-scale data improves the prediction of 5-year costs. The prediction accuracy could be improved by utilization of a richer set of prognostic factors and refinement of categorical specifications. Copyright Springer International Publishing Switzerland 2016

Date: 2016
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DOI: 10.1007/s40273-015-0368-6

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