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 |
| Not Available To Programme | |
| Not Available To All Programme With | |
| Not Available As BDE/UE To Programme | |
| Not Available As Core To Programme | |
| Not Available As PE To Programme | |
| Mutually Exclusive With | |
| Not Offered As BDE | |
| Not Offered As Unrestricted Elective | |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |