Generalized Linear and Mixed Models in Ecology and Conservation. 6 credits

Catalog description

This regression-based analytical course combines lectures on theory and concepts with significant time practicing statistical tools within the R environment. The course concludes with a final project module where participants work independently to conduct a full analysis of a provided dataset and present their results. This course covers: probability theory, random variables and statistical distributions, linear models, generalized linear models, model diagnostics, data transformations, visualizing results, missing data and collinearity. Offered through the Smithsonian-Mason School of Conservation in cooperation with the Smithsonian Conservation Biology Institute in Front Royal, VA. This course is taught as an intensive, mixed format (lectures and computer work) offering, in a residential full-day (8:30am-6pm), 2 week session. Course includes a required Saturday morning session with Sunday as a free day. An online asynchronous format (7.5 wk) is also offered. Offered by Provost's Office . May not be repeated for credit.