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首页> 外文期刊>The Journal of toxicological sciences >Determination of dose dependence in repeated dose toxicity studies when mid-dose alone is insignificant
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Determination of dose dependence in repeated dose toxicity studies when mid-dose alone is insignificant

机译:在仅中剂量时微不足道的重复剂量毒性研究中确定剂量依赖性

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Repeated dose toxicity studies with rodents are regulatory requirements for registering chemical substances like drugs and pesticides with the government regulatory agencies. Usually 4 groups of animals, including a control group, are used in repeated dose toxicity studies. Williams’ test, Dunnett’s test and Jonckheere’s trend test are generally used to evaluate the data obtained from these studies. Selection of a statistical tool is relatively easy, when the data obtained from the groups of animals show a dose-dependency. But, occasionally a significance difference, compared to control, is not seen in the mid-dose group alone, thus losing the dose-dependency. We attempted to find the appropriate statistical tool for analyzing the quantitative data obtained from repeated dose toxicity studies, when the data of the mid-dose group alone do not show a significant difference, compared to control. The commonly used Williams’ test to analyse such data has a disadvantage as it assigns an estimated mean value for the mid-dose group, rather than the original mean value, for the analysis. Hence, it is likely that Williams’ test may misjudge in establishing a dose dependency, when in reality it does not exists. Therefore, to analyse such data we suggest the use of Dunnett’s multiple comparison test, to compare each dose group with the control, followed by Jonckheere’s trend test for examining dose dependency.
机译:对啮齿类动物进行重复剂量毒性研究是向政府监管机构注册化学物质(如药物和农药)的监管要求。通常在重复剂量毒性研究中使用4组动物,包括对照组。通常使用Williams检验,Dunnett检验和Jonckheere趋势检验来评估从这些研究中获得的数据。当从动物群获得的数据显示出剂量依赖性时,选择统计工具相对容易。但是,有时在中剂量组中未发现与对照组相比有显着性差异,从而失去了剂量依赖性。当与对照相比,仅中剂量组的数据没有显示出显着差异时,我们试图找到合适的统计工具来分析从重复剂量毒性研究获得的定量数据。常用的Williams检验分析此类数据有一个缺点,因为它为分析确定了中等剂量组的估计平均值,而不是原始平均值。因此,威廉姆斯的测验可能会误判建立剂量依赖性,而实际上却不存在。因此,为了分析此类数据,我们建议使用Dunnett的多重比较测试,将每个剂量组与对照组进行比较,然后再进行Jonckheere的趋势测试,以检查剂量依赖性。

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