通常利用 ROC曲線下面積來評估兩種診斷方法的相似性及非劣性檢定方法，且關於兩種診斷方法，在診斷的預測上是否有顯著差異的檢定，在過去的文獻已有提出相關的研究。
若一新診斷方法與標準的診斷方法是相似的，而且在成本、
使用方便性 (如非侵入性) 及安全性的考量下較優於標準方法，
新診斷方法將可取代標準的診斷方法。在目前文獻上估計 ROC
曲線下面積較好的方法是無母數法。本篇論文主要是考慮在同時使用多個診斷方法評估病患是否致病下，提出利用無母數法去評估相似性及非劣性的檢定方法，並以模擬結果比較其型 extrm{I} 誤發生機率和檢定力，並於最後提出一實例加以說明。

　There is an increased use of ROC
curve for assessing a diagnostic efficacy of the
equivalence/non-inferiority test, and a statistical tool which is　popular for describing the accruacy of diagnostic is the receiver　operating characteristic curve. The
area under the ROC curve (AUROC) is a global measure of a test's　accuracy. If the diagnostic accuracy of
alternative procedure is equivalent to the gold standard invasive method,　its easy administration, better safety profile and reduced　cost of alternative procedure will be considered to instead of the standard method.
It is possible that several diagnostic markers
are used to detect a disease in medical diagnosis. In this paper,we propose a non-parametric method for assessing equivalence/non-inferiority　test using the area under the multivariate ROC curve (AUMROC). A simulation study was
conducted empirically to compute its empirical size and power. A real published　dataset is used　to illustrate the proposed procedure.

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