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Yu-Chieh Cheng

National Health Research Institutes



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Chin-Fu Hsiao

National Health Research Institutes



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Ya-Ting Hsu

National Health Research Institutes



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Fang-Jing Lee

National Health Research Institutes



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Eric Slud

University of Maryland College Park and U.S. Census Bureau



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Hsiao-Hui Tsou

National Health Research Institutes and China Medical University



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Hsiao-Yu Wu

National Health Research Institutes



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Yuh-Jeng Wu

Chung Yuan Christian University



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131 – Topics in Clinical Trials

Estimation of Treatment Effect in a Multi-Regional Clinical Trial With Survival Endpoint

Sponsor: Biopharmaceutical Section
Keywords: Multiregional clinical trials, survival endpoint, overall treatment effect, sample-size allocation, consistency

Yu-Chieh Cheng

National Health Research Institutes

Chin-Fu Hsiao

National Health Research Institutes

Ya-Ting Hsu

National Health Research Institutes

Fang-Jing Lee

National Health Research Institutes

Eric Slud

University of Maryland College Park and U.S. Census Bureau

Hsiao-Hui Tsou

National Health Research Institutes and China Medical University

Hsiao-Yu Wu

National Health Research Institutes

Yuh-Jeng Wu

Chung Yuan Christian University

Multiregional clinical trial (MRCT) has become a popular strategy in the development of new medicines. By incorporating subjects from many regions under a single protocol, an MRCT seeks regulatory approval for all participating regions. Therefore, the first goal in an MRCT is to show the overall treatment efficacy of the new therapy. In this presentation, we focus on the design and analysis of a two-arm comparative multiregional clinical trial with survival endpoint. We provide a statistical model to combine regional treatment effects for estimation of overall treatment effect. ICH E17 guidance provides some approaches to sample-size allocation in an MRCT. Thus, we evaluate those approaches by numerical examples in the presentation. The evidence of consistency in treatment effects among regions is usually required for regional approval. We further explore how to evaluate consistency in treatment effects among regions and how to make inferences of the treatment effect for a specific region.

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