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姓名 陳秀琴(Hsiu-chin Chen)  查詢紙本館藏   畢業系所 統計研究所
論文名稱 針對右偏分布資料進行兩個醫學診斷方法的相等性檢定
(The equivalent test of two diagnostic method in matched-pair designs for right-skewed data)
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摘要(中) 本文在病例對照研究之下,建立兩種醫學診斷方法的相等性檢定。此一研究中的每一個受試者皆接受兩種不同的診斷方法,所得到的是具有相關性的成對診斷值。本文考慮將成對資料利用冪轉換,轉換成近似二元常態分布的資料,然後進行現有文獻中的有母數相等性檢定。另一方面,本文應用不同的廣義伽瑪分布描述右偏分布的二個診斷資料,並且使用適當的關聯結構函數(Copula)聯結上述的兩個邊際分布,用以描述成對資料的聯合分布。然後,在此一聯合分布之下,建構兩條受試者操作特徵(Receiver Operating Characteristic; ROC)曲線,並且根據二條估計的曲線下面積之差異進行相等性檢定,驗證這兩種醫學診斷方法的受試者操作特徵曲線下面積的真正差異是否在可容忍的範圍內。本文進一步在不同的關聯結構函數、邊際分布、相關係數等條件下,藉由模擬研究探討本文所提到檢定方法的型I 誤差率和檢定力表現。最後藉由分析一個實例說明上述檢定方法的應用。
摘要(英) In this paper, we consider testing the equivalence of two medical diagnostic methods in a case-control study where each subject receiving the two different diagnostics produces correlated paired measurements. Note that it occurs often in practice that the marginal distributions of the measurements are right-skewed. Therefore, we first apply the power transformation to the paired data so that they would behave like the bivariate normal data. One parametric equivalent test is then implemented based on the transformed data. On the other hand, we suggest and employ appropriate copula function which links two generalized gamma distributions to describe the joint distribution of the paired measurements. Under the joint distribution, an approximate test based on the difference between the areas under the two estimated Receiver Operating Characteristic (ROC) curves is then constructed. In this paper, we would like to test if the difference between the true areas is within an allowable region. The results of a simulation investigation of the level and power performances of the approximate test for different degrees of correlation in several possible copula functions with a variety of marginal distributions are reported. Finally, a real data set is illustrated by using the approximate test.
關鍵字(中) ★ 關聯結構函數
★ 廣義伽瑪分布
★ 受試者操作特徵曲線
★ 相等性檢定
關鍵字(英) ★ equivalent test
★ Receiver Operating Characteristic curve
★ generalized gamma distribution
★ Copula functions
論文目次 摘要 i
Abstract ii
致謝辭 iii
目錄 iv
表目錄 vi
圖目錄 viii
第一章 研究動機及目的 1
第二章 文獻回顧 6
2.1 顯著性檢定 6
2.2 相等性檢定 12
2.3 廣義伽瑪分布 15
2.4 關聯結構函數 17
第三章 統計方法 19
3.1 冪轉換資料之相等性檢定 19
3.2 二元廣義伽瑪分布下的相等性檢定 20
第四章 模擬研究 24
4.1 模擬方法 24
4.2 模擬結果 26
第五章 實例分析 28
第六章 總結與討論 36
參考文獻 37
附錄 39
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2.Box GEP, Cox DR. An analysis of transformations. Journal of the Royal Statistical Society, Series B 1964; 26:211-252.
3.Cox C., Chu H., Schneider MF., Muñoz A. Parametric survival analysis and taxonomy of hazard functions for the generalized gamma distribution. Statistics in Medicine 2007; 26:4352-4374.
4.DeLong E, DeLong D, Clarke-Pearson D. Comparing the areas under two or more correlated receiver operation characteristic curves: a non-parametric approach. Biometrics 1988; 44:837-845.
5.Faraggi, D., Reiser, B. Estimation of the area under the ROC curve. Statistics in Medicine 2002; 21:3093-3106.
6.Greiner, M., Pfeiffer, D., Smith, R. M. Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests. Preventive veterinary Medicine 2000; 45:23-41.
7.Lusted, L. B. Decision making studies in patient management. New England Journal of Medicine 1971; 284:416-424.
8.Liu JP, Ma MC, Wu CY, Tai JY, Tests of equivalence and non-inferiority for diagnostic accuracy based on the paired areas under ROC curves. Statistics in Medicine 2006; 25:1219-1238.
9.Molodianovitch K, Faraggi D, Reiser B. Comparing the areas under two correlated ROC curves: parametric and non-parametric approaches. Biometrical Journal 2006. DOI: 10.1002/bimj.200610223
10.Nelsen, R. B. An Introduction to Copulas. Second Edition. Springer: New York, 2006.
11.Obuchowski N. Testing for equivalence of diagnostic tests. American Journal of Radiology 1997; 168:12-17.
12.Pepe, M. S. The Statistical Evaluation of Medical Tests for Classification and Prediction. Oxford Statistical Science Series. 2003.
13.Stacy, E. W. A generalization of the gamma distribution. Annals of Mathematical Statistics. 1962; 33:1187-1192.
14.Shapiro, D. E. The interpretation of diagnostic tests. Statistical Methods in Medical Research. 1999; 8:113-134.
15.Wieand, S., Gail, M. H., James, B. R., James, K. L. A family of non-parametric statistics for comparing diagnostic markers with paired or unpaired data. Biometrika 1989; 76:585-592.
16.Zhou, XH, Obuchowski, NA, and McClish, DK. Statistical Methods in Diagnostic Medicine. Wiley: New York, 2002.
17.吳瑾瑜 (2004). 評估檢定ROC曲線下面積相似性和非劣性統計方法之研究。國立成功大學統計學系碩士論文。
18.李念純 (2011). 一維及二維右設限存活資料的適合度檢定。國立中央大學統計研究所碩士論文。
指導教授 陳玉英(Yuh-ing Chen) 審核日期 2011-7-1
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