Computational Statistics/Database Management using SAS Software
Increasingly, SAS is the software of choice among federal agencies, state health departments, and pharmaceutical companies. This course will provide students with a working knowledge of SAS that will be useful in analysing public health and clinical data originating from the above sources.
|Faculty||Faculty of Health and Medicine|
|School||School of Medicine and Public Health|
Semester 2 - 2017
(Distance Education - Callaghan)
Semester 2 - 2018 (WebLearn GradSchool)
On successful completion of this course, students will be able to:
Students will learn how to access and manage datasets in SAS and perform statistical analyses relevant to medical research and public health practice. Basic programming topics covered will include data input, data transformation, and data manipulation. Participants also will learn how to run simple statistical procedures (t-tests, ANOVA, linear regression) as well as more advanced analytic methods (split-plot designs, MANOVA, repeated measure, generalized additive models, mixed-effects designs, hierarchical multi-level models, logistic regression, proportional hazards models, Poisson regression, log-binomial regression, generalized estimating equations, and LASSO) using SAS software.
|Contact Hours||Not currently offered|
|Timetable||2017 Course Timetables for BIOS6010|