Subject:
Community Hlth and Epidemiolog
Credit units:
3
Weekly hours: 3 Lecture hours
College:
Graduate and Postdoc Studies
Department: Community Hlth and Epidemiol
Description
This course explores the application of advanced multivariate statistical methods commonly used to analyze correlated data and is an extension and continuation of Biostatistics I (CHEP 805.3). The course will be largely applied, presenting analytic methods using the R programming language; however, where appropriate, certain theoretical results will be presented. Topics to be covered in the course are: general approaches for longitudinal data analysis, which include analysis of repeated measures using Analysis of Variance, Survival Analysis, statistical methods based on Generalized Linear Models, Generalized Estimating Equations, Linear Mixed Effect Models and Maximum Likelihood and a brief introduction to handling missing data. Computer software used: R.
Prerequisite(s): CHEP 805 or permission of the instructor.
Upcoming class offerings
For full details about upcoming courses, refer to the class search tool or, if you are a current student, the registration channel in PAWS.
Syllabi
The syllabus is a public document that provides detail about a class, such as the schedule of activities, learning outcomes, and weighting of assignments and examinations.
Once an instructor has made their syllabus publicly available on USask’s Learning Management System, it will appear below. Please note that the examples provided below do not represent a complete set of current or previous syllabus material. Rather, they are presented solely for the purpose of indicating what may be required for a given class. Unless otherwise specifically stated on the content, the copyright for all materials in each course belongs to the instructor whose name is associated with that course. The syllabus is the intellectual property of instructors or the university.
For more information, visit the Academic Courses Policy , the Syllabus page for instructors , or for students your Academic Advising office.
Loading...