从"没有差异"到"趋势":动物研究中的统计分析的误解
1Department for Evidence-Based Medicine and Evaluation, University for Continuing Education Krems, Dr. Karl Dorrekstrasse 30, 3500, Krems an Der Donau, Lower Austria, Austria. amin.sharifan@donau-uni.ac.at.
Naunyn-Schmiedeberg's archives of pharmacology
|July 16, 2025
概括
大多数动物研究误解了统计学意义,仅依赖p值. 研究需要报告效果大小和置信区间,以便在临床前药理学中更好地解释和透明化.
科学领域:
- 药理学 药理学是指药理学的学科.
- 生物统计学 生物统计学
背景情况:
- 频率主义的方法在动物研究中占主导地位.
- 在体内药理学缺乏评估的统计学意义的解释和报告.
研究的目的:
- 评估在体内药理学中的常客统计数据的解释和报告实践.
- 评估p值与效果大小和置信区间的使用情况.
- 检查临床前研究中的协议注册和透明度.
主要方法:
- 分析了来自5个体内药理学期刊最近发表的100篇论文.
- 评估统计解释,报告p值,效果大小和置信区间.
- 评估协议的可用性和注册.
主要成果:
- 61%的研究误解了假设测试或p值.
- 99%的人完全依赖p值,只有1%的人报告了效应大小和置信区间.
- 没有一项研究有公开可用的协议或注册.
结论:
- 临床前药理学研究需要报告效果大小和置信区间.
- 研究协议的开发和注册对于透明度至关重要.
- 减少对二分化结果的依赖可以减轻假阳性发现.
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