EPID702: Bayesian Perspectives in Epidemiology
- Graduate level
- Summer term(s) for residential students;
- 1 credit hour(s) for residential students;
- Instructor(s): Staff Little, Roderick (Residential);
- Last offered Summer 2016
- Prerequisites: courses in basic statistics and standard regression
- Description: This course provides an introduction to Bayesian methods in epidemiology. Topics include: contrasting the Bayesian and classical approaches to hypothesis testing and interval estimation; strengths and weaknesses of the two paradigms, and when they give similar and dissimilar answers; objective and subjective Bayes; calibrated Bayes, a conceptual approach that combines Bayesian and frequentist ideas; computational tools, including Markov Chain Monte Carlo. the Bayesian approach to some important problems in epidemiology: contingency tables, diagnostic testing, comparison of means, regression, hierarchical models, measurement error, and analysis of data from common study designs.