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Design and evaluation of multiregional trials with heterogeneous treatment effect across regions.
Chen, Chi-Tian; Hung, H M James; Hsiao, Chin-Fu.
Affiliation
  • Chen CT; Division of Biometry, Graduate Institute of Agronomy, College of Bioresource and Agriculture, National Taiwan University, Taipei, Taiwan.
J Biopharm Stat ; 22(5): 1037-50, 2012 Sep.
Article in En | MEDLINE | ID: mdl-22946948
ABSTRACT
To speed up drug development to allow faster access to medicines for patients globally, conducting multiregional trials incorporating subjects from many countries around the world under the same protocol may be desired. Several statistical methods have been proposed for the design and evaluation of multiregional trials. However, in most of the recent approaches for sample size determination in multiregional trials, a common treatment effect of the primary endpoint across regions is usually assumed. In practice, it might be expected that there is a difference in treatment effect due to regional difference (e.g., ethnic difference). In this article, a random effect model for heterogeneous treatment effect across regions is proposed for the design and evaluation of multiregional trials. We also address consideration of the determination of the number of subjects in a specific region to establish the consistency of treatment effects between the specific region and the entire group.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Research Design / Multicenter Studies as Topic Type of study: Clinical_trials / Guideline / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Biopharm Stat Journal subject: FARMACOLOGIA Year: 2012 Type: Article Affiliation country: Taiwan

Full text: 1 Database: MEDLINE Main subject: Research Design / Multicenter Studies as Topic Type of study: Clinical_trials / Guideline / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Biopharm Stat Journal subject: FARMACOLOGIA Year: 2012 Type: Article Affiliation country: Taiwan