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Review
. 2024 Oct;58(5):470-475.
doi: 10.1177/00236772241262829. Epub 2024 Sep 20.

Bayesian statistical concepts with examples from rodent toxicology studies

Gary J Larson  1 , Keith R Shockley  2
Affiliations
Review

Bayesian statistical concepts with examples from rodent toxicology studies

Gary J Larson et al. Lab Anim. 2024 Oct.

Abstract

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.

Keywords: Bayesian statistics; hierarchical modeling; prior distributions; rodent toxicology; statistical software.

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Conflict of interest statement

Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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