title: Design and analysis issues of multiregional clinical trials with different regional primary endpoints.
abstract: One of the challenges of multiregional drug development program is to design and analyze a multiple regional clinical trial with the objective being to satisfy different regional requirements on primary endpoints. Considered in this article is a multiregional clinical trial (MRCT) designed to test for two primary endpoints. Data of a regular fixed-size well-controlled parallel arm trial are used to test for two null hypotheses in terms of two distinct yet correlated endpoints. The two hypotheses may be tested sequentially or simultaneously. Depending on the structure of the hypotheses to be tested and the understanding of type I error rate control, various scenarios of type I error rate adjustments may be applied. Furthermore, for the objective of getting approval from regional authorities for different primary endpoints, various sample size and power determinations may be applied. In this article, comparisons of different approaches are discussed systematically.
authors.affiliation: Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan. tsouhh@nhri.org.tw
authors.forename: Hsiao-Hui
authors.initials: HH
authors.lastname: Tsou
authors.forename: Yi
authors.initials: Y
authors.lastname: Tsong
authors.forename: Wan-Jung
authors.initials: WJ
authors.lastname: Chang
authors.forename: Xiaoyu
authors.initials: X
authors.lastname: Dong
authors.forename: Chin-Fu
authors.initials: CF
authors.lastname: Hsiao
mesh_terms: D000465:Algorithms; D002986:Clinical Trials as Topic / Q000379:methods / Q000706:statistics & numerical data; D023381:Endpoint Determination / Q000379:methods* / Q000706:statistics & numerical data*; D006801:Humans; D015337:Multicenter Studies as Topic / Q000379:methods* / Q000706:statistics & numerical data*; D012107:Research Design / Q000706:statistics & numerical data*; D018401:Sample Size