This page links to material for some of the courses I have taught.

### ASA/AHA Session

In August 2018 I taught a session on "Statistical Methods: Advanced Common Sense" at the ASA/AHA Research Leaders Academy. The materials are here.

### Short courses

These materials were developed primarily for the Summer Institute for Statistical Genetics and Summer Institute in Statistics and Modeling in Infectious Diseases. If you re-use the material, please acknowledge doing so.
### Graduate Courses at the University of Washington

For a full list of courses taught please see my CV. Students ask me for the course notes of courses I have taught. These are provided below for some popular courses -- but note they are not a substitute for taking the course, and doing the exercises.
### Guest lectures in other courses

See my CV for a full list:

- Computational pipeline for whole genome sequence data [Seattle 2018] [Seattle 2017]
- Introduction to R [Abu Dhabi 2019] [Seattle 2018] [Seattle 2017] [Abu Dhabi 2017] [Seattle 2016] [Seattle 2015] [Seattle 2014] [Seattle 2013]
- Elements of R, for statistical genetics (intermediate) [Seattle 2015] [Lausanne 2014] [Seattle 2014] [São Paulo 2014] [Auckland 2013] [Seattle 2013] [Seattle 2012] [Liege 2011] [Seattle 2011] [Beijing 2010] [Seattle 2010] [Liege 2009] [Seattle 2009] [Auckland 2008] [Liege 2007]
- Advanced R Programming for Bioinformatics [Seattle 2017] [Seattle 2015] [Seattle 2014] [Seattle 2013] [Seattle 2012] [Edinburgh 2012] [Seattle 2011] [Seattle 2010]
- Bayesian Statistics for Genetics [Seattle 2018] [Lausanne 2017] [Seattle 2017] [Seattle 2016]

- BIOST 514/517 - Biostatistics I. This is an "introductory" course, but goes deeper into the underlying concepts than many other introductions.
- BIOST 570 - Advanced Regression Methods I. A PhD-level course in regression methods for independent outcomes
- BIOST 571 - Advanced Regression Methods II. A PhD-level course in regression methods for dependent outcomes
- BIOST 540 - Correlated Data Analysis. An MS-level course in regression methods for dependent outcomes
- BIOST 533 - Linear models. An MS/PhD-level course in linear regression, with a strong emphasis on what exactly certain assumptions provide

- Hubio 530, Visualizing and Summarizing Data - a graphical introduction to the mean and median of a sample of data, and some related measures of spread
- Epi/Biost 519, Bayesian Statistics (a very brief introduction) - for an audience familiar with applications of regression-based inference, but with little exposure to Bayesian statistics