Introduction to Bayesian statistics in metabolomics with Dr. Christopher Brydges, UC DavisDate: April 1, 2021
Instructor: Dr. Christopher Brydges, UC Davis
Required software: JASP (can be downloaded for free from https://jasp-stats.org). The current version is 0.14, but it may well be updated between now and April.
Participant prerequisites: Basic knowledge of statistics (e.g., know what a t-test and a correlation are). No coding experience 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 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 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.
More information: UC Davis offers 1-week and 2-week intensive courses in Metabolomics, but many researchers cannot contribute so much time! We therefore offer 'Bits and Bites' of some of our most popular parts of our intensive courses, see below. We hope to see you there!
This 6-part short course series will feature in-depth topics in untargeted metabolomics such as pathway-based interpretation, Bayesian statistics, and a deeper look into MS-DIAL version 4.0. Each short course can be taken individually or you can select multiple Bites. Participants will gain a deeper insight into current software, methods, and pitfalls. Each session starts promptly at 9 a.m. (Pacific Time) and will take approx. 4 hours. The courses will be conducted in highly interactive manner, with use of freely available software and databases. The tuition is $150 per Bite. We do offer a discounted price when you take 5 Bites for $700 or 6 Bites for $800.