BSTA 386
Bayesian Analysis
This course will provide a basic introduction to Bayesian concepts and methods with an emphasis on the data analysis in the context of health. We will discuss model choice, including the assessment of prior distributions. We will discuss how to conduct inference in a Bayesian setting, through posterior means, credible intervals and hypothesis testing. The Analyses will be performed using the freely available software Jags as implemented in the R packages rjags and R2jags. Prerequisites: BSTA 133
Sources
- Course catalogue ↗2026-2027