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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/45179完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 江金倉 | |
| dc.contributor.author | Chuan-Hsiang Chiang | en |
| dc.contributor.author | 張詮祥 | zh_TW |
| dc.date.accessioned | 2021-06-15T04:07:41Z | - |
| dc.date.available | 2011-02-24 | |
| dc.date.copyright | 2010-02-24 | |
| dc.date.issued | 2010 | |
| dc.date.submitted | 2010-02-05 | |
| dc.identifier.citation | [1] Bandos, A. I., Rockette, H. E., and Gur, D. (2005). A permutation test sensitive
to differences in areas for comparing ROC curves paired design. Statistics in Medicine. 24, 2873-2893. [2] Braun, T. M. and Alonzo, T. A. (2008). A modified sign test for comparing paired ROC curves. Biostatistics. 9, 364-372. [3] Delong, E. R., Delong, D. M., and Clarke-Pearson, D. L. (1988). Comparing the areas under two receiver operating characteristic curves: A nonparametric approach. Biometrics. 44, 837-846. [4] Hanley, J. A. and McNeil, B. J. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 143, 29-36. [5] Hanley, J. A. and McNeil, B. J. (1983). A method of comparing the area under two ROC curves derived from the same cases. Radiology. 148, 839-843. [6] Moskowitz, C. and Pepe, M. (2004). Quantifying and comparing the predictive accuracy of continuous prognostic factors for binary outcomes. Biostatistics. 5, 113-127. [7] Venkatraman, E. S. and Begg, C. B. (1996). A distribution-free procedure for comparing receiver operating characteristic curves from a paired experiment. Biometrika. 83, 835-848. [8] Venkatraman, E. S. (2000). A permutation test to compare receiver operating characteristic curves. Biometrics. 56, 1134-1138. [9] Smith, J. W., Everhart, J. E., Dickson, W. C., Knowler, W. C., and Johannes, R. S. (1988). Using the adap learning algorithm to forecast the onset of diabetes mellitus. In Proceedings of the Symposium on Computer Applications and Medical Care, 261 ? V265. IEEE Computer Society Press. [10] Yalc¸ın, M. and Yıldırım, T. (2003). Karaci˘gerbozukluklarının yapay sinir a˘gları ile tes¸hisi. In Biyomedikal M¨uhendisli˘gi Ulusal Toplantısı (BIYOMUT 2003), Istanbul, T¨urkiye, 293-297. [11] Zheng, Y., Cai, T., Pepe, M. S., and Levy, W. C. (2008). Time-dependent predictive values of prognostic biomarkers with failure time outcome. Journal of the American Statistical Association. 103, 362-368. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/45179 | - |
| dc.description.abstract | ROC 及PPV 曲線經常被用來評估連續指標的分類與預測性，在此論文裡面我們驗證一個指標擁有好的分類性會引申好的預測性，反之亦然。此外，我們根據不同的座標系及量測尺度提出一系列的檢定方法，更近一步藉由數值的模擬來評估所提出方法的執行力。最後我們將我們的方法應用在印地安婦女糖尿病研究及肝病研究上。 | zh_TW |
| dc.description.abstract | The receiver operating characteristic curves (ROC) and the positive predictive value (PPV) curve are often used to assess the performance of a continuous marker in classification and prediction, respectively. In this thesis, we showed that the better the marker in classification, the better the marker in prediction, and vice versa.
Moreover, some test rules were established based on a variety of coordinate systems and metric measurements for the closeness between the ROC curves and that for the PPV curves. A class of simulation experiments were further implemented to investigate the performances of the developed inference procedures. In addition, our procedures are applied to two empirical examples from the studies of Pima-Indian diabetes and liver disorders. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T04:07:41Z (GMT). No. of bitstreams: 1 ntu-99-R96221016-1.pdf: 567894 bytes, checksum: 8b1462065fecd00a41000baca065f61f (MD5) Previous issue date: 2010 | en |
| dc.description.tableofcontents | 1 Introduction 1
2 Classification and Prediction Accuracies 4 2.1 Area Between Curves . . . . . . 4 2.2 Relationship Between Classification and Prediction Measures . . . . . 7 3 Inference Procedures 12 3.1 Estimation for Area Between Curves . . . . . . 12 3.2 Test Rules for Difference Between Curves . . . . . . 15 4 Monte Carlo Simulation 20 5 Applications 26 6 Discussion 31 Bibliography 32 | |
| dc.language.iso | en | |
| dc.subject | U-統計量 | zh_TW |
| dc.subject | 曲線間面積 | zh_TW |
| dc.subject | 曲線下面積 | zh_TW |
| dc.subject | 自助重取法 | zh_TW |
| dc.subject | 偽陽性率 | zh_TW |
| dc.subject | 非參數估計式 | zh_TW |
| dc.subject | 陽性預測值 | zh_TW |
| dc.subject | ROC 曲線 | zh_TW |
| dc.subject | 真陽性率 | zh_TW |
| dc.subject | area under curve (AUC) | en |
| dc.subject | U-statistic | en |
| dc.subject | true positive rate (TPR) | en |
| dc.subject | receiver operating characteristic curve (ROC) | en |
| dc.subject | positive predictive value | en |
| dc.subject | nonparametric estimator | en |
| dc.subject | false positive rate (FPR) | en |
| dc.subject | bootstrap | en |
| dc.subject | area between curve (ABC) | en |
| dc.title | 連續性指標之分類與預測比較 | zh_TW |
| dc.title | Comparison for the Classification and Prediction
Accuracies of Continuous Markers | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 98-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 周若珍,陳宏 | |
| dc.subject.keyword | 曲線間面積,曲線下面積,自助重取法,偽陽性率,非參數估計式,陽性預測值,ROC 曲線,真陽性率,U-統計量, | zh_TW |
| dc.subject.keyword | area between curve (ABC),area under curve (AUC),bootstrap,false positive rate (FPR),nonparametric estimator,positive predictive value,receiver operating characteristic curve (ROC),true positive rate (TPR),U-statistic, | en |
| dc.relation.page | 33 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2010-02-05 | |
| dc.contributor.author-college | 理學院 | zh_TW |
| dc.contributor.author-dept | 數學研究所 | zh_TW |
| 顯示於系所單位： | 數學系 | |
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