Course n°4 - Introduction to Bayesian analysis (INBAY)
May 22nd – May 23rd, 2019
The basic ideas underlying the Bayesian framework are covered by this course, and practical tools to perform Bayesian analysis are provided. Bayesian methods are an alternative to traditional statistical frequentist methods. Course content covers Bayesian modeling, including prior specification, as well as posterior estimation and decision theory. Modern numerical solutions implemented to perform Bayesian analysis using the BUGS language and JAGS software from within R will also be studied, with a focus on the specific contexts of epidemiology, clinical trial analysis and pharmacology.
Upon completion of the course, participants will comprehend the fundamentals underlying Bayesian methods, become familiar with the practical tools needed to perform Bayesian analysis, and be able to carry out simple Bayesian analysis in R using JAGS.