The adjustment methods in AUC calculation for age-related discriminatory measure
碩士 === 國立陽明大學 === 公共衛生研究所 === 101 === In medical study, a continuous biomarker used for discriminating diseased from non-diseased is commonly evaluated from receiver operating characteristic curve (ROC). The area under ROC (AUC) is an important index representing the average accuracy. In fetal study...
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ndltd-TW-101YM0050580162016-03-18T04:41:51Z http://ndltd.ncl.edu.tw/handle/39141900056832068737 The adjustment methods in AUC calculation for age-related discriminatory measure 判別測量值與年齡相關時AUC計算方法的調整 Yi-Chen Chen 陳怡蓁 碩士 國立陽明大學 公共衛生研究所 101 In medical study, a continuous biomarker used for discriminating diseased from non-diseased is commonly evaluated from receiver operating characteristic curve (ROC). The area under ROC (AUC) is an important index representing the average accuracy. In fetal study, a biomarker may be collected by ultrasound or Doppler and thus provides to discriminate between diseased and no-diseased cases. It is noted that the collected biomarkers tend to vary with gestational age. Ignoring this factor, the yield ROC or AUC will be biased Two disease outcomes, Down syndrome and Intrauterine growth restriction (IUGR) are studied from nasal bone and umbilical artery pulsability. According to this application, this study investigates the methods for adjusting the effect of gestational age on ROC curve and AUC calculation. The regarding methods are categorized as (i) based on placement values and (ii) based on logistic regression analysis. A simulation study had been conducted for further verifying the adjusted methods in AUC calculation. Chong-Yau Fu 傅瓊瑤 2013 學位論文 ; thesis 50 zh-TW |
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碩士 === 國立陽明大學 === 公共衛生研究所 === 101 === In medical study, a continuous biomarker used for discriminating diseased from non-diseased is commonly evaluated from receiver operating characteristic curve (ROC). The area under ROC (AUC) is an important index representing the average accuracy.
In fetal study, a biomarker may be collected by ultrasound or Doppler and thus provides to discriminate between diseased and no-diseased cases. It is noted that the collected biomarkers tend to vary with gestational age. Ignoring this factor, the yield ROC or AUC will be biased
Two disease outcomes, Down syndrome and Intrauterine growth restriction (IUGR) are studied from nasal bone and umbilical artery pulsability. According to this application, this study investigates the methods for adjusting the effect of gestational age on ROC curve and AUC calculation. The regarding methods are categorized as (i) based on placement values and (ii) based on logistic regression analysis.
A simulation study had been conducted for further verifying the adjusted methods in AUC calculation.
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author2 |
Chong-Yau Fu |
author_facet |
Chong-Yau Fu Yi-Chen Chen 陳怡蓁 |
author |
Yi-Chen Chen 陳怡蓁 |
spellingShingle |
Yi-Chen Chen 陳怡蓁 The adjustment methods in AUC calculation for age-related discriminatory measure |
author_sort |
Yi-Chen Chen |
title |
The adjustment methods in AUC calculation for age-related discriminatory measure |
title_short |
The adjustment methods in AUC calculation for age-related discriminatory measure |
title_full |
The adjustment methods in AUC calculation for age-related discriminatory measure |
title_fullStr |
The adjustment methods in AUC calculation for age-related discriminatory measure |
title_full_unstemmed |
The adjustment methods in AUC calculation for age-related discriminatory measure |
title_sort |
adjustment methods in auc calculation for age-related discriminatory measure |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/39141900056832068737 |
work_keys_str_mv |
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