Classification of pathological stage of prostate cancer patients using personalized splines

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/1921

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DC Field	Value	Language
dc.contributor.author	Banerjee, Tathagata	-
dc.contributor.author	Maiti, Tapabrata	-
dc.contributor.author	Mukhopadhyay, Pashpal	-
dc.date.accessioned	2010-04-05T06:11:47Z	-
dc.date.available	2010-04-05T06:11:47Z	-
dc.date.copyright	2005-11-06	-
dc.date.issued	2010-04-05T06:11:47Z	-
dc.identifier.uri	http://hdl.handle.net/11718/1921	-
dc.description.abstract	We 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.iso	en	en
dc.relation.ispartofseries	WP;2005/1916	-
dc.subject	Logistic Regression	en
dc.subject	Receiver Operating Characteristics Curve	-
dc.subject	Nomogram	-
dc.subject	Organ Confined Disease	-
dc.title	Classification of pathological stage of prostate cancer patients using personalized splines	en
dc.type	Working Paper	en
Appears in Collections:	Working Papers

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