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复制性研究的方法进步:概念验证人类动物数据复制的定性比较分析

Cathalijn H C Leenaars¹, Steven Teerenstra², Franck L B Meijboom³

¹Institute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany; Department of Animals in Science and Society - Faculty of Veterinary Sciences, Utrecht University, Utrecht, the Netherlands.

Journal of neuroscience methods

|July 31, 2023

概括

物种间的繁殖能力仍然是一个挑战. 定性比较分析 (QCA) 确定了成功翻译的关键因素,包括最近的研究,事件级分析,更小的样本大小,多种物种和定量数据.

科学领域:

生物医学研究的研究.
翻译科学是翻译的科学.
科学复制性科学复制性

背景情况:

复制性危机超越了实验室间实验的范围,扩展到物种间的研究.
之前的工作总结了从0%到100%的翻译成功率,但无法根据个别因素预测可复制性.
传统的回归分析 (RGA) 在分析可重现性相关的复杂相互作用方面是有限的.

研究的目的:

探索定性比较分析 (QCA) 的实用性,以了解物种间的可再生性.
通过使用QCA重新分析现有关于翻译成功率的数据,以确定预测成功翻译的因素组合.
评估QCA在物种间可再生性研究领域的可行性和相关性.

主要方法:

使用定性比较分析 (QCA) 重新分析以前发表的动物和人类研究数据.
基于集合论和布尔代数的方法QCA被用于分析预测变量的组合.
在同一数据集上,将QCA结果与传统的回归分析 (RGA) 进行比较.

主要成果:

QCA确定了一个成功翻译的公式:相对最近 (>1999年),事件/研究水平分析,小样本大小 (<75),多种物种的纳入,以及定量分析 (>85%的成功率).
其他因素组合产生了不一致或负面的结果.
回归分析 (RGA) 在这个数据集中未能确定成功翻译的任何显著个体预测因素.

结论:

定性比较分析 (QCA) 是研究物种间可再生性的可行和相关方法.
QCA显示出在物种间研究可重复性领域的知识进步方面显著的前景.
确定的QCA公式提供了一个潜在的框架,可以提高动物对人类研究翻译的成功率.

关键词:

额外推算是指进行额外推算.建模建模模型是什么预测预测预测定性比较分析定性比较分析回归分析是一种回归分析.可复制性可复制性范围审查范围审查有效性有效性是有效性的.

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