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计量资料非劣效临床试验样本量及把握度的计算与SAS程序实现
引用本文:文世梅,陈云飞,刘华. 计量资料非劣效临床试验样本量及把握度的计算与SAS程序实现[J]. 金属学报, 2013, 18(1): 51-54
作者姓名:文世梅  陈云飞  刘华
作者单位:上海中医药大学附属岳阳中西医结合医院药物临床试验机构,上海 200437
基金项目:上海高校青年教师培养资助计划(ZZszy12046)
摘    要:目的: 利用SAS简易快速对计量资料非劣效临床试验进行样本量及把握度的计算。方法: 比较公式及SAS编程两种计算方法,同时给出反推把握度的SAS宏程序。结果: 公式和SAS程序两种计算方法的结果一致,利用SAS程序可以直接给出结果,无需要再进行查表获得相关参数,更简单、快捷。结论: 利用本文提供的程序可以更好地帮助研究者理解与运用此程序进行样本量和把握度的估算,为此类新药临床试验服务。

关 键 词:计量资料  非劣效性试验  样本量  把握度  SAS程序  
收稿时间:2012-07-12
修稿时间:2012-07-12

SAS programming for sample size and power calculation of measurement data in non-inferior trials
WEN Shi-mei,CHEN Yun-fei,LIU Hua. SAS programming for sample size and power calculation of measurement data in non-inferior trials[J]. Acta Metallurgica Sinica, 2013, 18(1): 51-54
Authors:WEN Shi-mei  CHEN Yun-fei  LIU Hua
Affiliation:Drug Clinical Trial Institution, Yueyang Hospital of Integrated Traditional Chinese and Western Medicone, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China
Abstract:AIM: To calculate sample size and power of measurement data in non-inferior trials using SAS programming. METHODS: Two calculation method, formula and SAS programming, were compared based on examples and the SAS macro for power was given as well. RESULTS: The calculation results of SAS programming was consistent with the formula, and SAS programming can directly give the result was more convenient without looking-up table to obtain the relevant parameters.CONCLUSION: It is helpful for investigator to have a better understanding at this programming to calculate sample size and power provided in this paper.
Keywords:Measurement data  Non-inferior trial  Sample size  Power  SAS programming  
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