摘要
目的:比较逐段(SW)排序法、似然比(LR)排序法和极大似然估计值(MLE)排序法对临床试验中成组序贯设计期中分析效应高估的矫正效果。方法:使用SAS 9.4生成正态分布资料模拟数据集,模拟期中分析,采用中位无偏估计值(MUE)及其95%CI下限评估3种样本空间排序法的矫正效果。采用一项已上市的随机对照临床试验进行验证。结果:与SW排序法相比,LR排序法和MLE排序法的MUE及其95%CI下限更接近真实值。结论:对于正态分布数据,LR和MLE排序法能更好地矫正临床试验期中分析的效应高估。
Aim:To compare the performance of stagewise(SW)ordering,likelihood ratio(LR)ordering,and maximum likelihood estimator(MLE)ordering in correcting overestimation of efficacy in different scenarios in group sequential design interim analysis.Methods:Normal distributed quantitative simulation datasets were generated using SAS 9.4.After the simulated interim analysis,the median unbiased estimator(MUE)and its lower limit of 95%confidence interval(CI)were used to assess the performance of SW ordering,LR ordering and MLE ordering.Finally,a randomized controlled trial was used as a validation.Results:Compared with SW ordering,the MUE and its lower limit of 95%CI of LR ordering and MLE ordering were closer to the true intergroup effect.Conclusion:LR ordering and MLE ordering could obtain better correction efficacy than SW ordering during clinical trial interim analysis in normally distributed data.
作者
李恒
杨永利
贾晓灿
杨超君
施学忠
LI Heng;YANG Yongli;JIA Xiaocan;YANG Chaojun;SHI Xuezhong(Department of Computer and Health Statistics,College of Public Health,Zhengzhou University,Zhengzhou 450001)
出处
《郑州大学学报(医学版)》
CAS
北大核心
2024年第2期171-177,共7页
Journal of Zhengzhou University(Medical Sciences)
基金
郑州大学青年人才企业合作创新团队支持计划(32310410)
校级教育教学改革研究与实践重点项目(2022ZZUJG063)。
关键词
临床试验
期中分析
样本空间排序
效应高估矫正
clinical trial
interim analysis
sample space ordering
overestimation of efficacy correction