401-8628-00L Survival Analysis (University of Zurich)
| Semester | Spring Semester 2019 |
| Lecturers | University lecturers |
| Periodicity | yearly recurring course |
| Language of instruction | English |
| Comment | No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: STA425 Mind the enrolment deadlines at UZH: http://www.uzh.ch/studies/application/mobilitaet_en.html |
Courses
| Number | Title | Hours | Lecturers | |
|---|---|---|---|---|
| 401-8628-00 G | Survival Analysis **Course at Uni Zurich** | 1.5 hrs | University lecturers |
Catalogue data
| Abstract | The analysis of survival times, or in more general terms, the analysis of time to event variables is concerned with models for censored observations. Because we cannot always wait until the event of interest actually happens, the methods discussed here are required for an appropriate handling of incomplete observations where we only know that the event of interest did not happen within ... |
| Learning objective | |
| Content | During the course, we will study the most important methods and models for censored data, including - general concepts of censoring, - simple summary statistics, - estimation of survival curves, - frequentist inference for two and more groups, and - regression models for censored observations |
Performance assessment
| Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
| ECTS credits | 3 credits |
| Examiners | |
| Type | graded semester performance |
| Language of examination | English |
| Repetition | Repetition only possible after re-enrolling for the course unit. |
| Additional information on mode of examination | Registration modalities, date and venue of this performance assessment are specified solely by the UZH. |
Learning materials
| No public learning materials available. | |
| Only public learning materials are listed. |
Groups
| No information on groups available. |
Restrictions
| There are no additional restrictions for the registration. |
Offered in
| Programme | Section | Type | |
|---|---|---|---|
| Statistics Master | Statistical and Mathematical Courses | W |  |