3 unit(s) Prerequisite(s): Must be enrolled in Graduate Plan in Health Research Methodology; or Master of Public Health/eHealth/Health Policy programs plus permission of instructor and have successfully completed HTH RS M 702 or have permission of instructor.
This is a second level course in statistical methods, concentrating on regression models of various types. Topics covered include various main techniques of simple and multiple linear regression, and techniques such as use of dummy variables, covariance adjustment, residual analysis and assessment of model fit. A similar agenda is followed for logistic regression, appropriate for binary outcome variables and survival analysis, appropriate for time to event outcomes.. We also consider some advanced topics and related methods.
