Analysis of Survival Data with Demographic Applications
The course gives an overview of the methods used in statistical analysis of event data (e.g. marriage, deaths, crime).
Survival models are discussed and applied to real-life data mostly within demography/sociology but also in other subjects such as economics, business economics, criminology and medicine. The course also provides an introduction to suitable software packages for empirical analysis of event data.
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Course structure
The course is given at day time, full time.
Teaching format
The teaching forms consist of lectures and exercises.
Course information
- Old exams
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Course description, spring 2023 (291 Kb)
More information for registered students will be found in Athena.
Assessment
Examination will be in the form of written examination.
Examiner
Teachers spring 2023
Course coordinator
You will find Gebrenegus' reception hours in the link above. If you want to visit Gebrenegus outside of his reception hours, you are welcome to e-mail him for an appointment.
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Schedule
The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course. -
Course literature
Note that the course literature can be changed up to two months before the start of the course. -
Course reports
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Contact
If you have questions about the course, please contact the cours coordinator:
Teachers spring 2023
Course coordinator
You will find Gebrenegus' reception hours in the link above. If you want to visit Gebrenegus outside of his reception hours, you are welcome to e-mail him for an appointment.
If you have questions about studying at the Department of Statistics, please contact our study- and career counselor.