Gandhi Mihir, Mukherjee Bhaswati, Biswas Debjit
Global Biometric Sciences, Bristol-Myers Squibb India Pvt. Ltd., Mumbai, India.
J Biopharm Stat. 2012 Sep;22(5):935-51. doi: 10.1080/10543406.2012.698436.
To address concerns that ethnic differences in any clinical trial may affect the performance of a treatment, separate clinical trials may be required for different regions. If a drug is approved in one region based on a bigger clinical trial, a bridging study with smaller size may be conducted in a new region to evaluate the similarity of the earlier clinical data to the new population. This article applies a Bayesian strategy to combine a bridging study with reference studies to assess treatment effect similarity for binary endpoints. The methods have been illustrated with a numerical example using Markov-chain Monte Carlo (MCMC) techniques.
为解决在任何临床试验中种族差异可能影响治疗效果的担忧,不同地区可能需要开展单独的临床试验。如果一种药物基于规模更大的临床试验在一个地区获批,那么在新地区可能会开展规模较小的桥接研究,以评估早期临床数据与新人群的相似性。本文应用贝叶斯策略将桥接研究与参考研究相结合,以评估二元终点的治疗效果相似性。已通过一个使用马尔可夫链蒙特卡罗(MCMC)技术的数值示例对这些方法进行了说明。