UFR Pharmacie, Medis, Biopharmaceutical Department, Clermont Auvergne University, 28 Place H. Dunant, BP 38, 63001, Clermont-Ferrand, France.
ESIEE, Cités Descartes, BP 99, 93162, Noisy le Grand Cedex, France.
AAPS J. 2017 Jul;19(4):1091-1101. doi: 10.1208/s12248-017-0063-y. Epub 2017 Mar 28.
The f test is generally used for comparing dissolution profiles. In cases of high variability, the f test is not applicable, and the Multivariate Statistical Distance (MSD) test is frequently proposed as an alternative by the FDA and EMA. The guidelines provide only general recommendations. MSD tests can be performed either on raw data with or without time as a variable or on parameters of models. In addition, data can be limited-as in the case of the f test-to dissolutions of up to 85% or to all available data. In the context of the present paper, the recommended calculation included all raw dissolution data up to the first point greater than 85% as a variable-without the various times as parameters. The proposed MSD overcomes several drawbacks found in other methods.
f 检验通常用于比较溶出度曲线。在变异度较高的情况下,f 检验不适用,FDA 和 EMA 常建议采用多元统计距离(MSD)检验作为替代方法。指南仅提供了一般性建议。MSD 检验可以在有或没有时间变量的原始数据上进行,也可以在模型参数上进行。此外,可以对数据进行限制,如 f 检验仅限于 85%以下的溶出度或所有可用数据。在本文的上下文中,建议的计算方法包括所有原始溶出度数据,直至第一个大于 85%的点作为变量,而不包括各种时间作为参数。所提出的 MSD 克服了其他方法中发现的几个缺点。