Marker selection via maximizing the partial area under the ROC curve of linear risk scores
نویسندگان
چکیده
منابع مشابه
Risk Estimation by Maximizing the Area under ROC Curve
Risks exist in many different domains; medical diagnoses, financial markets, fraud detection and insurance policies are some examples. Various risk measures and risk estimation systems have hitherto been proposed and this paper suggests a new risk estimation method. Risk estimation by maximizing the area under a receiver operating characteristics (ROC) curve (REMARC) defines risk estimation as ...
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Permission is herewith granted to Università degli Studi di Cassino to circulate and to have copied for non-commercial purposes, at its discretion, the above title upon the request of individuals or institutions. Acknowledgements This work would not have been possible without the support I received from many people. A big thank you to all who have helped me in some way or other to complete this...
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Performance evaluation of any classification method is fundamental to its acceptance in practice. Evaluation should consider the dependence of a classifier’s accuracy on relevant covariates in addition to its overall accuracy. When developing a classifier with a continuous output that allocates units into one of two groups, receiver operating characteristic (ROC) curve analysis is appropriate. ...
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ژورنال
عنوان ژورنال: Biostatistics
سال: 2010
ISSN: 1465-4644,1468-4357
DOI: 10.1093/biostatistics/kxq052