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dc.contributor.authorBanerjee, Tathagata
dc.contributor.authorMaiti, Tapabrata
dc.contributor.authorMukhopadhyay, Pashpal
dc.date.accessioned2010-04-05T06:11:47Z
dc.date.available2010-04-05T06:11:47Z
dc.date.copyright2005-11-06
dc.date.issued2010-04-05T06:11:47Z
dc.identifier.urihttp://hdl.handle.net/11718/1921
dc.description.abstractWe propose a penalized splines based method to predict the pathological stage of localized prostate cancer.The improvement is shown to be statistically significant. Receiver operating characteristic curve is drawn and we show that the increase in area under the ROC curve over the commonly used logistic regression based.en
dc.language.isoenen
dc.relation.ispartofseriesWP;2005/1916
dc.subjectLogistic Regressionen
dc.subjectReceiver Operating Characteristics Curve
dc.subjectNomogram
dc.subjectOrgan Confined Disease
dc.titleClassification of pathological stage of prostate cancer patients using personalized splinesen
dc.typeWorking Paperen


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