Event Date
Required software: JASP (can be downloaded for free from https://jasp-stats.org). Versions of the tool to be used will be announced closer to the course date.
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.
Short description of the course: 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 workshop will provide a brief refresher on traditional statistics, teach the basic principles behind Bayesian statistics, learn how to conduct basic Bayesian analyses in JASP (free, open-source software available from https://jasp-stats.org/) and learn how to report the results in the style of a journal article.