贝叶斯统计概念与啮齿动物毒理学研究实例。

IF 1.3 4区 农林科学 Q2 VETERINARY SCIENCES
Laboratory Animals Pub Date : 2024-10-01 Epub Date: 2024-09-20 DOI:10.1177/00236772241262829
Gary J Larson, Keith R Shockley
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引用次数: 0

摘要

统计学的理论和实践包括两大流派:频数统计和贝叶斯统计。频数统计方法最常用于分析基于动物的实验室数据,而贝叶斯统计方法的应用范围较小,实验科学从业人员可能相对陌生。本文简要介绍了贝叶斯统计方法及其与频数法的比较。通过啮齿动物毒性研究中的实例,我们认为贝叶斯方法可以为实验动物研究人员提供很多帮助。我们主张在实验动物研究中更多地关注和采用贝叶斯方法。贝叶斯统计理论、方法、软件和教育在过去 30 年中取得了长足的进步,使这些工具比以往任何时候都更容易获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bayesian statistical concepts with examples from rodent toxicology studies.

The theory and practice of statistics comprises two main schools of thought: frequentist statistics and Bayesian statistics. Frequentist methods are most commonly used to analyze animal-based laboratory data, while Bayesian statistical methods have been implemented less widely and may be relatively unfamiliar to practitioners in experimental science. This paper provides a high-level overview of Bayesian statistics and how they compare with frequentist methods. Using examples in rodent toxicity research, we argue that Bayesian methods have much to offer laboratory animal researchers. We advocate for increased attention to and adoption of Bayesian methods in laboratory animal research. Bayesian statistical theory, methods, software, and education have advanced significantly in the last 30 years, making these tools more accessible than ever.

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来源期刊
Laboratory Animals
Laboratory Animals 生物-动物学
CiteScore
4.90
自引率
8.30%
发文量
64
审稿时长
6-12 weeks
期刊介绍: The international journal of laboratory animal science and welfare, Laboratory Animals publishes peer-reviewed original papers and reviews on all aspects of the use of animals in biomedical research. The journal promotes improvements in the welfare or well-being of the animals used, it particularly focuses on research that reduces the number of animals used or which replaces animal models with in vitro alternatives.
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