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当显著性变得无足轻重时:贝叶斯和频率论框架中的效应大小及其不确定性,作为分析生态毒理学数据的一种替代方法。

When significance becomes insignificant: Effect sizes and their uncertainties in Bayesian and frequentist frameworks as an alternative approach when analyzing ecotoxicological data.

机构信息

Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden.

Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.

出版信息

Environ Toxicol Chem. 2018 Jul;37(7):1949-1955. doi: 10.1002/etc.4127. Epub 2018 May 3.

Abstract

Bayesian methods and frequentist confidence intervals are proposed as an alternative approach in ecotoxicology, emphasizing effect sizes and associated (un)certainties to judge the biological relevance of effects instead of basing decisions on p values. These approaches show advantages over null hypothesis significance testing. In particular, Bayesian methods revealed more potential than frequentist counterparts, as the posterior distribution and its credible intervals can be directly interpreted as the probability of effect sizes. Environ Toxicol Chem 2018;37:1949-1955. © 2018 SETAC.

摘要

贝叶斯方法和频率置信区间被提议作为生态毒理学中的一种替代方法,强调效应大小和相关的(不)确定度,以判断效应的生物学相关性,而不是基于 p 值做出决策。这些方法相对于零假设显著性检验具有优势。特别是,贝叶斯方法比频率方法更具优势,因为后验分布及其可信区间可以直接解释为效应大小的概率。环境毒理学化学 2018;37:1949-1955. © 2018 SETAC.

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