BST 764 - APPLIED STATISTICAL MODELING FOR MEDICINE AND PUBLIC HEALTH

College of Public Health

Credits: 3

BST 764 introduces statistical methods which are not necessarily developed in the core courses of a master’s or doctoral biostatistics curriculum. Topics may vary from one offering of the course to another, depending on instructor and/or student interest. Possible topics include (but are not limited to) finite mixtures, nonparametric regression, structural equation models, Markov chains, renewal processes, deep learning, fuzzy matching, time series analysis, handling of missing data.

Prerequisite(s):
Prereq: Enrollment in the Epidemiology and Biostatistics Ph.D. program or consent of instructor.