This course will develop students' abilities in advanced statistical methods. Topics covered may include advanced regression analysis (e.g., logistic regression, Cox regression), survival analysis, longitudinal data analysis, hierarchical modeling, and machine learning techniques applied to biomedical data. Emphasis will be placed on understanding the theoretical underpinnings of these methods as well as their practical implementation using statistical software.
Prerequisites
Admission to the PhD in Veterinary Biomedical Science.
Semester Offered
Fall