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通过解决聚类和筑巢效应,提高动物衰老研究的统计学严谨性:与国家衰老干预测试计划数据研究所的插图

Erik S Parker, Lilian Golzarri-Arroyo, Stephanie Dickinson

bioRxiv : the preprint server for biology

|April 1, 2025

概括

动物寿命研究中的集群效应可能会扭曲结果. 在统计模型中正确考虑这些影响可以提高准确性,减少错误,确保更可靠的临床前研究结果.

科学领域:

临床前研究方法学
生物统计学生物统计学
老年学是一门学科.

背景情况:

在临床前的寿命研究中,将动物放在共享子中的聚类效应经常被忽视.
这种监督可能会扭曲差异估计,并增加I型错误率,损害研究可靠性.

研究的目的:

检查对集群和嵌套效应的计算对寿命分析的影响.
为了比较包含和忽略这些效应的统计模型.

主要方法:

利用了涉及UM-HET3小鼠的干预测试计划 (ITP) 的2019年数据.
采用线性混合效应和考克斯脆弱模型来解决聚类和嵌套问题.
将未经调整的寿命分析与包含集群和嵌套调整的分析进行了比较.

主要成果:

与未经调整的模型相比,适当调整集群和嵌套效应的统计模型可以改变结论.
如果不考虑这些影响,可能会导致I型错误率膨胀.

结论:

计算聚类和嵌套对于在临床前寿命研究中进行可靠的统计推断至关重要.
实施这些调整可以提高实验设计的可重现性和严谨性.

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