Course Objectives :
Students completing this course should:
· Advance the tools learned in STAT 512.
· Be competent in GLM model building and diagnostics
· Understand the Matrix representation of the reviewed models
· Be introduced to extensions of the GLM models such as Random Effects Models, Mixed Effects Models and Generalized Linear Models.
· Competent with SAS Procedures PROC GLM, PROC GENMOD, PROC LOGISTIC, PROC PHREG, and PROC MIXED.
TECHNOLOGY:
Students will be using SAS 9. Students should be competent in using SAS prior to taking this course. The following skills are expected to be known:
· Reading and creating SAS data sets.
· Familiarity with PROC REG and PROC GLM introduced in STAT 512.
· Able to save output files, SAS code, and SAS logs
· Install SAS on their personal computer.
· Comfortable in the SAS LAB.
Example Syllabus
Course Descriptions
