MATH5916 is a Mathematics Level V course. See the course overview below.

Units of credit: 6

Prerequisites:

Cycle of offering: not offered every year.

Graduate attributes: the course will enhance your research, inquiry and analytical thinking abilities.

More information: this recent course handout (pdf) contains information about course objectives, assessment, course materials and the syllabus.

The Online Handbook entry contains up-to-date timetabling information.

If you are currently enrolled in MATH5916, you can log into the My eLearning Vista instance of this course.

Survival analysis is the analysis of data representing the time to occurrence of a certain event or endpoint
("time-to-event" data). In a medical context, examples of endpoints include death, relief of pain, and recurrence of symptoms.
The aim of survival analysis in a particular medical investigation might be to identify important prognostic variables for survival time, or to compare the survival times of a number of different groups. Because of the prevalence of these types of medical investigations, survival analysis represents one of the most important areas of statistical methodology in medicine. This course will explain the special features of time-to-event data and introduce some of the methods and models available to deal with them.