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研究生: 黃莉晴
Huang, Li-Ching
論文名稱: 多標準處置和異質性下非劣性臨床試驗的多重比較
Multiple Comparison Procedures for Non-inferiority Clinical Trials with Heterogeneous Variances and Multiple Standard Treatments
指導教授: 溫敏杰
Wen, Miin-Jye
共同指導教授: 張紹洪
Cheung, Siu-Hung
學位類別: 博士
Doctor
系所名稱: 管理學院 - 統計學系
Department of Statistics
論文出版年: 2015
畢業學年度: 103
語文別: 英文
論文頁數: 60
中文關鍵詞: 三臂試驗族系誤差率檢測靈敏度非劣性試驗臨界值安慰劑
外文關鍵詞: Three-arm design, Familywise error rate, Assay sensitivity, Non-inferiority margin, Placebo
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  • 非劣性試驗的目的是透過比較新藥和標準用藥的療效,證明新藥的療效達到標準用藥療效的某個水準以上,藉此說明新藥是具有療效的。試驗中,須定義一個新藥和標準用藥療效間可容忍的差距,稱為非劣性試驗的臨界值,該值通常是參考標準用藥和安慰劑試驗的歷史資料所得。允許新藥療效比標準用藥療效來的差一點,主要是因為新藥具有標準用藥所沒有的優點,例如:成本低、負作用少和容易使用等。將非劣性試驗的臨界值定義為新藥和標準用藥療效之差是常見且受歡迎的方式。基於這個定義,已有統計方法用以比較多組新藥是否非劣於標準用藥療效,同時驗證試驗是否具有檢測靈敏度。然而這個方法要求各組資料須滿足變異數一致性的假設。本研究首先討論當各組資料不滿足變異數一致性假設時,原本方法是否依然能夠有效地控制族系誤差率。針對各組資料不滿足變異數一致性假設下,我們提出兩個統計檢定方法,並且利用模擬的方式說明所提出的方法可以有效地控制族系誤差率。很多非劣性臨床試驗建構在比較多組新藥和多組標準用藥,同時驗證試驗是否具有檢測靈敏度。本研究也對此種設計提出一個新的檢定程序,並且提供各組試驗所需的樣本數計算,以使檢定達到所期望的檢定力。最後,本研究會以臨床試驗的例子,對所提出的檢定程序做說明。

    The objective of a non-inferiority (NI) trial is to affirm the efficacy of a new treatment compared with a standard treatment by verifying that the new treatment maintains a considerable portion of the treatment effect of the standard. The marginal loss of efficacy (NI margin) of adopting the new treatment has to be justified by its other benefits, such as the alleviation of side effects, the lowering of costs, and the simplification of intricate treatment regimens. A popular approach is to express the NI margin in terms of the efficacy difference between the new treatment and the standard treatment. Based on this approach, statistical procedures that simultaneously conduct NI tests of several new treatments have been proposed. However, these procedures were formulated on the assumption of equal variances. In this thesis, the first objective is to discuss the undesirable effect on the familywise error rate using these procedures under the situation of heterogeneous variances. Two new procedures are proposed to alleviate the problem. A simulation study of the familywise error rate and power is conducted to compare different procedures. It is found that the proposed procedure that used a plug-in method is superior. The second objective of this thesis is to extend previous statistical methods for NI trials that only focus on testing of treatments with a single standard treatment. In practice, NI trials sometimes compare new treatments with multiple standard treatments and the appropriate testing procedure is derived. Further, the power function, together with the strategy to determine the optimal sample size, are discussed. Clinical trial examples are presented to illustrate our proposed procedure.

    1 Introduction 1 1.1 The purpose of non-inferiority clinical studies 1 1.2 Controversial issues and government guidelines 2 1.3 Three-arm designs and the testing procedures 4 1.4 Thesis objectives 7 1.5 Layout of the thesis 8 2 NI trials with one standard treatment and multiple new treatments 10 2.1 Clinical examples 10 2.2 The KCHW procedure 12 2.3 Test statistics and the computation of critical values 14 2.4 Power and sample size determination 16 2.5 The problem of the KCHW procedure when variances are heterogeneous 18 3 NI trials with one standard treatment and heterogeneous variances 24 3.1 The model 24 3.2 The proposed testing procedure 24 3.3 Assessment of familywise error rate 27 3.4 Comparisons of test power 29 3.5 Examples 32 4 NI trials with several standard treatments 35 4.1 Multiple standard treatments 35 4.2 The model 35 4.3 The testing procedure 36 4.4 Special case: NI trials with two standard treatments 38 4.5 Example 42 4.6 Sample size determination 43 5 Conclusions and further research 47 Appendix 51 References 55

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