On the Comparison of Accuracy Measurement Based On the Multiple AUROC

碩士 === 國立成功大學 === 統計學系碩博士班 === 92 ===   An important statistical tool for describing diagnostic accuracy is the receiver operating characteristic (ROC) curve. There is an increasing use of ROC curve for assessing the effectiveness of continuous diagnostic markers in diagnosis of patient. However, sc...

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Main Authors: Cheng-Li Lin, 林橙莉
Other Authors: Mi-Chia Ma
Format: Others
Language:en_US
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/99930207777089655178
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spelling ndltd-TW-092NCKU53370232016-06-17T04:16:56Z http://ndltd.ncl.edu.tw/handle/99930207777089655178 On the Comparison of Accuracy Measurement Based On the Multiple AUROC 整合多個診斷方法下AUROC測度量的比較 Cheng-Li Lin 林橙莉 碩士 國立成功大學 統計學系碩博士班 92   An important statistical tool for describing diagnostic accuracy is the receiver operating characteristic (ROC) curve. There is an increasing use of ROC curve for assessing the effectiveness of continuous diagnostic markers in diagnosis of patient. However, scarce literature exists for evaluation of ROC curve based on multiple continuous markers.   Two methods for estimation of the area under ROC curves based on multiple markers are proposed. These two methods are based on arithmetic and geometric mean of areas under ROC of individual markers. A numerical example using the data from a microarray experiment illustrates the applications of the proposed methods. Finally, a simulation was conducted to evaluate the performance of the proposed methods. Mi-Chia Ma Jen-Pei Liu 馬瀰嘉 劉仁沛 2004 學位論文 ; thesis 130 en_US
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description 碩士 === 國立成功大學 === 統計學系碩博士班 === 92 ===   An important statistical tool for describing diagnostic accuracy is the receiver operating characteristic (ROC) curve. There is an increasing use of ROC curve for assessing the effectiveness of continuous diagnostic markers in diagnosis of patient. However, scarce literature exists for evaluation of ROC curve based on multiple continuous markers.   Two methods for estimation of the area under ROC curves based on multiple markers are proposed. These two methods are based on arithmetic and geometric mean of areas under ROC of individual markers. A numerical example using the data from a microarray experiment illustrates the applications of the proposed methods. Finally, a simulation was conducted to evaluate the performance of the proposed methods.
author2 Mi-Chia Ma
author_facet Mi-Chia Ma
Cheng-Li Lin
林橙莉
author Cheng-Li Lin
林橙莉
spellingShingle Cheng-Li Lin
林橙莉
On the Comparison of Accuracy Measurement Based On the Multiple AUROC
author_sort Cheng-Li Lin
title On the Comparison of Accuracy Measurement Based On the Multiple AUROC
title_short On the Comparison of Accuracy Measurement Based On the Multiple AUROC
title_full On the Comparison of Accuracy Measurement Based On the Multiple AUROC
title_fullStr On the Comparison of Accuracy Measurement Based On the Multiple AUROC
title_full_unstemmed On the Comparison of Accuracy Measurement Based On the Multiple AUROC
title_sort on the comparison of accuracy measurement based on the multiple auroc
publishDate 2004
url http://ndltd.ncl.edu.tw/handle/99930207777089655178
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AT línchénglì zhěnghéduōgèzhěnduànfāngfǎxiàauroccèdùliàngdebǐjiào
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