药品质量控制中常用异常值判别方法辨析  

Discrimination of the outlier tests commonly used in pharmaceutical quality control

作　　者：项荣武[1] 张潇[2] 谭德讲[2] 杨洋[1] 

机构地区：[1]沈阳药科大学,沈阳110016 [2]中国食品药品检定研究院,北京100050

出　　处：《药物分析杂志》2013年第11期1845-1848,共4页Chinese Journal of Pharmaceutical Analysis

基　　金：中检院学科带头人基金"统计学分析方法在药品检定中的应用研究"(课题编号2011X3)

摘　　要：目的:正确地运用各种异常值判别方法,科学地进行数据分析。方法:用药品检定实验者2个常见数据集实例,对常用异常值检验方法的敏感性进行比较;对异常值判断的重要性、判别标准等进行分析。结果与结论:各种异常值判断方法都有其局限性。实验结果的准确一致是判断异常值分析正确性的前提;在实际运用中,要严格按照分析步骤进行操作,最好采用多种异常值检测方法同时分析;当选用一种方法时,应根据具体情况咨询专业统计人员进行选择。To use the outlier tests correctly for scientific data analysis. Methods：The sensitivity common outlier tests were compared by using data sets of two common experiments and the importance and j of the udging criteria of the outlier test were analyzed. Results and Conclusion： Each outlier testing method has its own limita- tions. The accuracy and consistency of the experimental resuhs are the premise to determine whether the outlier analysis is correct or not. In practical use, it is necessary to operate in strict accordance with the analysis steps, pref- erably to use a variety of outlier test methods for analysis. When selecting an outlier method to be used in certain practice, it is recommended to consult a professional statistician.

关 键 词：异常值 狄克逊法 格拉布斯法 汉佩尔法 药品质量控制 

分 类 号：R917[医药卫生—药物分析学]