Literature DB >> 22946948

Design and evaluation of multiregional trials with heterogeneous treatment effect across regions.

Chi-Tian Chen1, H M James Hung, Chin-Fu Hsiao.   

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.

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Year:  2012        PMID: 22946948     DOI: 10.1080/10543406.2012.701585

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  2 in total

1.  Trajectories, bifurcations, and pseudo-time in large clinical datasets: applications to myocardial infarction and diabetes data.

Authors:  Sergey E Golovenkin; Jonathan Bac; Alexander Chervov; Evgeny M Mirkes; Yuliya V Orlova; Emmanuel Barillot; Alexander N Gorban; Andrei Zinovyev
Journal:  Gigascience       Date:  2020-11-25       Impact factor: 6.524

2.  Sample size determination for a specific region in multiregional clinical trials with multiple co-primary endpoints.

Authors:  Wong-Shian Huang; Hui-Nien Hung; Toshimitsu Hamasaki; Chin-Fu Hsiao
Journal:  PLoS One       Date:  2017-06-30       Impact factor: 3.240

  2 in total

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