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首页> 外文期刊>Journal of Pharmaceutical and Biomedical Analysis: An International Journal on All Drug-Related Topics in Pharmaceutical, Biomedical and Clinical Analysis >Analytical method transfer using equivalence tests with reasonable acceptance criteria and appropriate effort: Extension of the ISPE concept.
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Analytical method transfer using equivalence tests with reasonable acceptance criteria and appropriate effort: Extension of the ISPE concept.

机译:使用等效检验,合理的接受标准和适当的努力进行分析方法的转移:ISPE概念的扩展。

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摘要

A method development process is commonly finalized by a method transfer from the developing to the routine laboratory. Statistical tests are performed in order to survey if a transfer succeeded or failed. However, using the classic two-sample t-test can lead to misjudgments and unsatisfying transfer results due to its test characteristics. Therefore the International Society of Pharmaceutical Engineering (ISPE) employed a fixed method transfer design using equivalence tests in their Guide for Technology Transfer. Although it was well received by analytical laboratories worldwide this fixed design can easily bring about high beta-errors (rejection of successful transfers) or high workload (many analysts employed during transfer) if sigma(AN) (error due to different analysts) exceeds 0.6%. Hence this work introduces an extended concept which will help to circumvent this disadvantage by providing guidance to select a personalized and more appropriate experimental design. First of all it demonstrates that former t-test related acceptance criteria can be scaled by a factor of 1.15, which allows for a broader tolerance without a loss of decision certainty. Furthermore a decision guidance to choose the proper number of analysts or series at given percentage acceptance limits (%AL) is presented.
机译:方法开发过程通常是通过将方法从开发实验室转移到常规实验室来完成的。执行统计测试以调查传输是成功还是失败。但是,由于其测试特性,使用经典的两样本t检验可能导致错误判断和不满意的转移结果。因此,国际制药工程协会(ISPE)在其技术转让指南中采用了等效测试,采用了固定方法转让设计。尽管sigma(AN)超过0.6,但固定的设计却很容易引起高beta错误(拒绝成功转移)或高工作量(许多分析师在转移过程中使用),导致固定错误。 %。因此,这项工作引入了扩展的概念,通过提供选择个性化且更合适的实验设计的指导,将有助于克服这一缺点。首先,它证明了以前与t检验相关的接受标准可以按1.15的比例进行缩放,从而可以在不损失决策确定性的情况下实现更大的容忍度。此外,还提供了在给定的百分比接受极限(%AL)下选择适当数量的分析人员或系列的决策指南。

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