生态和进化研究的大规模in silico复制
Yefeng Yang1, Erik van Zwet2, Nikolaos Ignatiadis3
1Evolution & Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, Australia. yefeng.yang1@unsw.edu.au.
Nature ecology & evolution
|September 26, 2024
概括
在生态和进化研究中,复制率很低 (30-40%),除非提供强有力的统计证据 (>70%). 实现高可复制性需要更大的样本大小和透明的研究实践.
科学领域:
- 生态科学 生态科学
- 进化生物学是进化的生物学.
- 科学方法科学方法学
背景情况:
- 人们越来越担心生态和进化研究的可复制性.
- 缺乏现场广泛的复制项目来评估当前的标准.
研究的目的:
- 在生态学和进化学中进行一个大规模的in silico复制项目.
- 评估统计学意义对研究可重复性的影响.
- 确定影响研究可信度和透明度的因素.
主要方法:
- 在一个in silico复制项目中使用了尖端的统计方法.
- 基于对零假设 (H0) 的证据强度分析了研究的可复制性.
- 对比样本大小要求,以实现不同级别的可复制性.
主要成果:
- 对于具有边际统计意义的研究,可复制率为30%-40%.
- 对H0有强有力的证据的研究表明>70%的可复制性.
- 边际显著性研究需要七倍大的样本大小,以匹配强有力的证据研究的可复制性.
结论:
- 很大一部分生态和进化研究可能缺乏足够的统计能力来实现可靠的复制.
- 统计证据的强度是可复制性的关键决定因素.
- 倡导向透明,可信和可复制的研究规划,执行和发表在生态和进化中的范式转变.
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