Public Health 697G - ST-BayesianComputation/Biostat

This course will introduce theory and application of Bayesian methods for analysis of biomedical datasets. A significant part of the course will be hands-on training in Bayesian computation using the R statistical language. Topics to be covered include examples illustrating Bayesian thinking, estimation of single and multi-parameter models and Bayesian computation using Markov Chain Monte Carlo (MCMC) methods.

STATISTC 515 & 516