This short course will be divided into 3 parts. The first part will discuss introductory principles in Bayesian inference, including the Bayesian paradigm, prior elicitation and computational methods. Also, Bayesian methods for linear models and generalized linear models will be discussed in detail.

The second part will examine models Bayesian methods for longitudinal data and survival models, and the third part will examine some special topics such as Bayesian model assessment and missing data. Several applications and case studies will be presented throughout the short course and SAS code as well as WinBUGS code will be provided throughout the course.

Prerequisites: Coursework in linear models and survival analysis would be helpful.

Registration fees:

UNC Students: $22

UNC Faculty/Staff: $40

Other: $50

If you have questions, please contact Paul_Mihas@unc.edu.