Overview
MATH5916 is a Honours and Postgraduate Coursework Mathematics course. See theÌýcourse overviewÌýbelow.
Units of credit:Ìý6
Prerequisites:Ìý±·¾±±ô
Cycle of offering:Ìý³Õ²¹°ù¾±²¹²ú±ô±ð
Graduate attributes:ÌýThe course will enhance your research, inquiry and analytical thinking abilities.
More information:ÌýThe Course outline will be made available closer to the start of term - please visit this website: www.unsw.edu.au/course-outlines
Important additional information as of 2023
ÁñÁ«¹ÙÍø Plagiarism Policy
The University requires all students to be aware of itsÌý.
For courses convened by theÌýSchool of Mathematics and Statistics no assistance using generative AI software is allowed unless specifically referred to in the individual assessment tasks.
If its use is detected in the no assistance case, it will be regarded as serious academic misconduct and subject to the standard penalties, which may include 00FL, suspension and exclusion.
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TheÌýÌýcontainsÌýinformation about the course. (The timetable is only up-to-date if the course is being offered this year.)
If you are currently enrolled in MATH5916, you can log intoÌýÌýfor this course.
Course overview
Survival analysis is the analysis of data representing the time to occurrence of a certain event or endpointÌý("time-to-event" data). In a medical context, examples of endpoints include death, relief of pain, and recurrence of symptoms.Ìý
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.