毒理学剂量反应实验的统计设计和分析指南,基于全面的文献综述
Franziska Kappenberg1, Julia C Duda2, Leonie Schürmeyer2
1Department of Statistics, TU Dortmund University, Vogelpothsweg 87, 44227, Dortmund, Germany. kappenberg@statistik.tu-dortmund.de.
Archives of toxicology
|August 12, 2023
概括
毒理学中的统计建模未得到充分利用. 这项研究量化了先进的统计方法和已发表的毒理学分析之间的差距,为改善剂量反应研究提供了指导.
科学领域:
- 毒理学 毒理学 毒理学
- 生物统计学 生物统计学
- 科学研究方法学 科学研究方法学
背景情况:
- 剂量反应,度反应和时间反应分析是毒理学的基础.
- 统计分析决策涉及使用测量度与参数模型进行推断.
- 目前的毒理学文献显示,先进的统计方法与已发表的应用程序之间存在差距.
研究的目的:
- 量化最先进的统计方法与它们在已发表的毒理学剂量反应分析中的应用之间的差异.
- 为规划,执行和分析毒理学研究提供具体的统计指导.
主要方法:
- 2021年在三个主要的毒理学期刊上发表的所有剂量反应分析的广泛文献综述.
- 对生物 (试验类型,暴露) 和统计 (设计,样本大小,分析方法) 考虑的分析.
- 批判性评估与毒理学研究相关的选定统计问题.
主要成果:
- 审查发现,在已发表的毒理学研究中,在应用先进的统计建模方面存在重大差距.
- 审查的具体方面包括试验类型,暴露,研究设计,样本大小,数据显示,分析目标,统计测试与建模以及警报度.
- 这些发现凸显了在毒理学测试中对外推算的参数建模未得到充分利用.
结论:
- 在当前的毒理学文献中,复杂的统计建模技术的使用不足显著.
- 该研究提出了基于证据的指导,以弥合统计研究和毒理学实践之间的差距.
- 改进的统计方法可以提高剂量反应研究的可靠性和推断能力.
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