在臨床試驗中，由於越來越少具有突破性的新藥出現，所以非劣性試驗日益重要。本文主要是針對療效指標為二元資料，在多組新藥同時進行非劣性試驗並且考慮該試驗的檢測靈敏度下，配適邏輯斯迴歸，對各種藥物所對應的迴歸係數已近似常態分配來檢定。由於有多組新藥進行多次檢定，會造成整體型一誤差率（familywise error rate, FWER）上升，因此利用單一步驟（single-step）法、step-down 法和step-up法控制，並於模擬研究中比較三種方法的整體型一誤差率和檢定力。最後應用此方法於治療牛皮癬藥物的臨床試驗中，比較捷仰炎（tofacitinib）十毫克或捷仰炎五毫克是否不差於恩博（etanercept）。

There are four phases in clinical trials and the non-inferiority trial is one of trials in phase
III. Nowadays, the non-inferiority trial becomes more and more important, because the efficacy of new drugs is difficult to prove. In this article, we consider a three-arm noninferiority trial with multiple new treatments for binary endpoints. We construct test statistics based on the transformation of the estimated coefficients from a logistic regression. Moreover, we apply single-step method, step-down method, and step-up method to control familywise error rate (FWER). In the simulation study, we compare the FWER and the power for three methods. Finally, we demonstrate our methods on the psoriasis trial conducted by Bachelez et al. (2015) to assert the efficacy of tofacitinib 10 mg and tofacitinib 5 mg is at worst clinically irrelevantly inferior to the etanercept.

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