Advanced Methods in Statistical Analysis
CBB 500
This course introduces students to more advanced methods in statistical analyses.
Course Directors: Nathan Wineinger
Term: Spring
Credits: 3.0
COURSE DESCRIPTION
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 statistical examinations in the presence of low sample size. Topics will be covered on a weekly basis and include 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.
