A Stepwise Procedure for Toxicity Studies Based on Ratio of two means

Michael J. Adjabui, J. A. Awaab, J. Dioggban
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Abstract

This paper proposes a stepwise confidence set procedure for identifying equivalence or safety of compounds in a toxicity study under heteroscedasticity of variances for a normally distributed data. The problem of statistical methodology for drug safety is the control of the familywise error rate (FWER). Hence, we construct a confidence set procedure for toxicological evaluation and incorporating the partitioning principle with a case of heteroscedascity of variances under normal assumption. Our simulation studies demonstrated that the power of the procedures for heterogeneity of variances increases with increasing in ratio of means.
基于二均值之比的毒性研究逐步程序
本文提出了一种逐步置信集方法,用于鉴别正态分布数据方差异方差下毒性研究中化合物的等效性或安全性。药品安全统计方法学的问题是家庭误差率的控制。因此,我们构建了一个毒理学评估的置信集程序,并将分块原则与正态假设下方差异方差的情况相结合。我们的模拟研究表明,方差异质性程序的能力随着均值比率的增加而增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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