Caring about Power Analyses,ACS Chemical Neuroscience

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Caring about Power Analyses
ACS Chemical Neuroscience ( IF 4.1 ) Pub Date : 2017-09-21 00:00:00 , DOI: 10.1021/acschemneuro.7b00341
Jennifer E. Murray ₁ , Scott T. Barrett ₁ , Rebecca L. Brock ₁ , Rick A. Bevins ₁

Affiliation

Everyone should care deeply about statistical power and effect size given that the current estimates of wasted nonreproducible and exaggerated research findings range from 50 to 85%, combined with the mandates from the National Institutes of Health (NIH) that proposal reviewers focus on scientific rigor and investigators consider sex as a biological variable. In this Viewpoint, we provide recommendations and resources regarding power analyses aimed at enhancing rigor, and hence decreasing waste, when designing experiments. As part of this effort, we also make recommendations for reporting key statistics that will aid others in estimating sample size based on published research.

中文翻译：

关心功耗分析

鉴于目前浪费的不可复制和夸大的研究结果的估计范围是50％到85％，再加上美国国立卫生研究院（NIH）的授权，建议审核者应着重于科学严谨和严格，每个人都应该深切关注统计能力和影响的大小。研究者认为性别是一个生物学变量。在此观点中，我们在设计实验时提供了有关功率分析的建议和资源，旨在提高严谨性，从而减少浪费。作为这项工作的一部分，我们还建议报告关键统计数据，这将有助于其他人根据已发表的研究估计样本量。

更新日期：2017-09-21

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