The course will introduce statistical methods used to analysis time-to-event data. Time-to-event or failure time data, and associated covariate data can be collected under a variety of sampling schemes and very commonly involves right censoring. The distribution of a time-to-event variable is often characterized in terms of its survival or hazard function. The course will cover fundamentals in survival analysis, with emphasis on statistical principal, methods and real life applications. The course will also motivate students to work closely with data and make inference nonparametrically and/or parametrically in the fields of study.
| AUs | 4.0 AUs |
| Grade Type | |
| Prerequisite | MH2500, MH3500, MH3510 |
| Exam | 2 December 2026, 5.00 pm - 7.00 pm |
The Exam information shown may be subject to changes. Students are to check the finalised exam timetable with exam seat information, which will be available at the 'Examination Seating Arrangement' webpage, 2 weeks before start of examination.
Prerequisite Graph
Survival Analysis
Unlocks
Available Indexes
| Mon | Tue | Wed | Thu | Fri | ||
|---|---|---|---|---|---|---|
| 1330 | COMMON LEC (LE) 1330-1520 Tue SPMS-LT3 | |||||
| 1400 | ||||||
| 1430 | ||||||
| 1500 | ||||||
| 1530 | COMMON LEC (LE) 1530-1620 Thu SPMS-LT4 | |||||
| 1600 | ||||||
| 1630 | 70320 TUT (T) 1630-1720 Thu SPMS-LT4 Wk1-3, Teaching Wk4-13 | 70320 LAB (LA) 1630-1720 Thu SPMS-LT4 Wk1-3, Teaching Wk4-13 | ||||
| 1700 | ||||||