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A robust statistical procedure for evaluating genotoxicity data

机译:评估遗传毒性数据的可靠统计程序

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摘要

The statistical evaluation of in vitro genotoxicity data is commonly performed by dose-response analysis. Common trend tests cannot be recommended because non-monotonicity may occur due to the use of high dose levels. Several decision tree approaches using preliminary comparisons versus control and conditional eliminating of high doses were proposed. Their heuristic and conservative behavior can be overcome by multiple contrast test, which test on trend and on comparisons versus control simultaneously. Other versions of protected trend test were investigated—each sensitive to any shape of the dose-response. A simple bootstrap approach is proposed using SAS PROC MULTTEST for the analysis of real genotoxicity data.
机译:体外遗传毒性数据的统计评估通常通过剂量反应分析进行。不建议使用通用趋势测试,因为使用高剂量水平可能会导致非单调性。提出了几种使用初步比较与控制和有条件地消除大剂量药物的决策树方法。它们的启发式和保守行为可以通过多重对比测试来克服,该对比测试可以同时测试趋势以及对比和对照。研究了其他版本的受保护趋势测试-每个版本都对任何形状的剂量响应敏感。提出了一种使用SAS PROC MULTTEST的简单引导方法来分析实际的遗传毒性数据。

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