CPSY 642 Applied Health Statistics II: Generalized Linear Modeling

Credits: 3
This second course in a 3-course series focuses on conceptual understanding of generalized linear modeling. Students will develop skills in the performance and interpretation of techniques such as multivariate linear, logistic, gamma and negative binomial regression, and develop an understanding of when particular approaches should be employed. This course also will cover common functions within generalized linear modeling such as tests of interaction, moderator and mediator, as well as multilevel modeling, handling of complex sampling designs and common approaches to model selection. Applying health statistics as part of a logical argument is emphasized in this course as opposed to detailed knowledge of the underlying mathematics.

Graded: A-F
May be taken only once for credit
Also offered as: NURS 642