Education Mission
My education mission is to increase students’ ability to think statistically in decision-theoretic contexts, whether that context is research or making consumption decisions. I aim to increase their exposure to Bayesian thinking, i.e. thinking that makes prior beliefs, data information AND utilities explicit and transparent.
Teaching Statistical Thinking
Teaching Statistical Thinking is an open online course that I produced in collaboration with a team of Duke students, the Duke Program in Education, and teachers in the Durham Public Schools. While aimed at high school teachers mandated to teach the Common Core, we hope it will be useful to any global citizen wishing to become more skilled in the basics of statistical thinking. It will be offered on Coursera starting in October of 2014.
Semester Courses
- Research Seminar in Statistical Science I, II
- Regression Analysis
- Introduction to Biostatistics
- Bayesian and Modern Statistics (co-taught with Michael Lavine)
- Stylometry (Undergraduate Special Topic)
- Teaching AP Statistics (MA Program in Teaching Summers 2006/13)
- Basic Statistics and Quantitative Literacy
- Statistics in the Courtroom
- Readings and Research
- Data Analysis and Statistical Inference
- Probability and Applied Statistics I
- Data Analysis for Public Policy Makers
- Introduction to Statistics for Social and Policy Sciences
- Statistical Concepts and Computer Applications
- Quantitative Evaluation Methods
- Statistics, Science and Society
- Quantitative Methods for Undergraduate Research
- Research in Statistical Science (Senior Capstone)
Shortcourses
- Bayesian Methods in Epidemiology
- Teaching Bayesian Methods: A Shortcourse for Teachers in Secondary Education
- Bayesian Methods in Survival Analysis
- Bayesian Methods in Biostatistics
- Meta-Analysis in Medicine and Health Policy
- Bayesian Methods: Applications to Clinical and Pharmaceutical Research