Advanced Methods in Statistical Analysis - TRBIO520

This course introduces students to more advanced methods in statistical analyses.

Course Directors: Nathan Wineinger and Samantha Bagsic
Term: Fall
Credits: 3.0

The course topics include multivariable and generalized linear models, survival analysis and repeated measures, approaches to simulate data, study design considerations and statistical power, summarizing and validating statistical results, dimensionality reduction for wide data, and an introduction to Bayesian statistics. Topics will be covered on a weekly basis and includes a didactic lecture followed by an applied lab where students will perform statistical analyses in class. The course is meant to prepare students for common statistical analysis issues that may arise in their own research, but when more introductory approaches are not appropriate. At the conclusion of the course, students will present the results from an assigned data analysis task to the class, demonstrating their technical skill and their ability to interpret these findings.