Courses Details

EPID702: Bayesian Perspectives in Epidemiology

  • Graduate level
  • Summer term(s)
  • 1 Credit Hour(s)
  • Instructor(s): Staff; Little, Roderick;
  • 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.
  • Course Goals: 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.