Bits & Bites # 05: Bayesian Statistics for Metabolomics
Date & Time: September 11, 2025, from 9 am to 1 pm PT
Instructor: Dr. Christopher Brydges
Registration & Payment: here
- Required Software: JASP (version will be announced before the course)
- Participant prerequisites: Basic knowledge of statistics (e.g., know what a t-test and a correlation are). No coding experience is needed, and there is no coding taught in this session
- Level: Introductory
- Short description: Bayesian statistics are a useful method for estimating effect sizes and testing the strength of evidence in favor of one hypothesis over another - things that p-values and traditional statistics can't do. However, they are under-utilized in metabolomics research. This short course will provide a brief refresher on traditional statistics, teach the basic principles behind Bayesian statistics, learn how to conduct basic Bayesian analysis in JASP, and learn how to report the results in the style of a journal article.