在臨床上，由於新的診斷方法不斷地推陳出新，ROC曲線下的面積被廣泛地應用在各種領域中，作為測量診斷方法精確度的工具。近年來，對於測試療法和傳統療法之間的比較，相似性及非劣性檢定成為一個重要的比較方法；而且愈來愈多的文獻報告針對相似性及非劣性檢定方法提出相關的研究。此篇論文主要是將無母數法、標準化差評估法以及該兩種方法所對應的拔靴法這四種方法推廣應用到多個診斷群，去同時評估多個診斷群相似性及非劣性檢定方法，並以模擬結果比較這四種方法在雙常態分配假設下各種參數組合的優劣情形。

In clinical study, since the new diagnosis test needs through the old to unceasingly bring forth the new, the area under ROC curve is widely applied in many kinds of field and is used as a tool to decide the accuracy of diagnosis tests. In recent years, testing the equivalence or non-inferiority of treatments becomes an important assessment method. Moreover, many literatures increasingly focused on the equivalence or non-inferiority test. In this paper, the four proposed methods including the nonparametric method, the method based on the standardized difference and their corresponding bootstrap method are applied to the equivalence and non-inferiority tests for multiple diagnostic markers. Then, a simulation study under binormal distribution is conducted to compare the empirical size and empirical power of these four methods for various combinations of parameters.

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