Courses Taught by Roderick Little

BIOSTAT830 Advanced Topics in Biostatistics

  • Graduate level
  • Fall, Winter term(s)
  • 1-4 Credit Hour(s)
  • Instructor(s): Little, Roderick; Han, Peisong;
  • Prerequisites: course/instructor dependent
  • Description: Advanced training in biostatistical methods primarily for doctoral students. Format will include lectures, readings, presentations and discussions in an area of special interest to students and faculty, such as stopping rules and interim analysis in clinical trials, conditional and unconditional inference and ancillarity, or nonparametric regression.
  • Syllabus for BIOSTAT830

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.
  • Competencies: .