Finding the Optimal Threshold of the Parametric ROC Curve under Continuous Diagnostic Measurement
碩士 === 國立臺北大學 === 統計學系 === 100 === The accuracy of a binary diagnostic test can be assessed easily through comparing the results with the status of respondents. That is, the sensitivity and specificity are evaluated. However, when the diagnostic test is resulted in a continuous version, the accur...
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ndltd-TW-100NTPU03370172015-10-13T21:06:54Z http://ndltd.ncl.edu.tw/handle/93101676073440303801 Finding the Optimal Threshold of the Parametric ROC Curve under Continuous Diagnostic Measurement 尋求連續型診斷試劑之參數 ROC 曲線的最適門檻值 Hung, Yuhan 洪郁涵 碩士 國立臺北大學 統計學系 100 The accuracy of a binary diagnostic test can be assessed easily through comparing the results with the status of respondents. That is, the sensitivity and specificity are evaluated. However, when the diagnostic test is resulted in a continuous version, the accuracy depends upon the specified threshold. The ROC curve (receiver operating characteristic curve) that includes all possible combinations of sensitivity and specificity, provides a way to evaluate an overall evaluation of the diagnostic test. Nevertheless, in practice, a threshold is still needed to have an easier clinical representation. The determination of a proper threshold depends upon the definition of accuracy. The determination of the accuracy depends on how important the prac- titioner views the specificity and sensitivity. Given a particular concern of specificity and sensitivity, this thesis derives the optimal threshold under two commonly used parametric assumptions on the diagnostic test (Binor- mal model and Bilogistic model). Since the optimal threshold does not have a closed form, the numerical results are given in tables for many parameter settings, so the practitioner can easily find the optimal threshold for their studies. Hwang, YiTing Wang, ChunChao 黃怡婷 汪群超 2012 學位論文 ; thesis 81 zh-TW |
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碩士 === 國立臺北大學 === 統計學系 === 100 === The accuracy of a binary diagnostic test can be assessed easily through
comparing the results with the status of respondents. That is, the sensitivity
and specificity are evaluated. However, when the diagnostic test is resulted in
a continuous version, the accuracy depends upon the specified threshold. The
ROC curve (receiver operating characteristic curve) that includes all possible
combinations of sensitivity and specificity, provides a way to evaluate an
overall evaluation of the diagnostic test. Nevertheless, in practice, a threshold
is still needed to have an easier clinical representation. The determination of
a proper threshold depends upon the definition of accuracy.
The determination of the accuracy depends on how important the prac-
titioner views the specificity and sensitivity. Given a particular concern of
specificity and sensitivity, this thesis derives the optimal threshold under
two commonly used parametric assumptions on the diagnostic test (Binor-
mal model and Bilogistic model). Since the optimal threshold does not have
a closed form, the numerical results are given in tables for many parameter
settings, so the practitioner can easily find the optimal threshold for their
studies.
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author2 |
Hwang, YiTing |
author_facet |
Hwang, YiTing Hung, Yuhan 洪郁涵 |
author |
Hung, Yuhan 洪郁涵 |
spellingShingle |
Hung, Yuhan 洪郁涵 Finding the Optimal Threshold of the Parametric ROC Curve under Continuous Diagnostic Measurement |
author_sort |
Hung, Yuhan |
title |
Finding the Optimal Threshold of the Parametric ROC Curve under Continuous Diagnostic Measurement |
title_short |
Finding the Optimal Threshold of the Parametric ROC Curve under Continuous Diagnostic Measurement |
title_full |
Finding the Optimal Threshold of the Parametric ROC Curve under Continuous Diagnostic Measurement |
title_fullStr |
Finding the Optimal Threshold of the Parametric ROC Curve under Continuous Diagnostic Measurement |
title_full_unstemmed |
Finding the Optimal Threshold of the Parametric ROC Curve under Continuous Diagnostic Measurement |
title_sort |
finding the optimal threshold of the parametric roc curve under continuous diagnostic measurement |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/93101676073440303801 |
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