Event-History Analysis: Regression for Longitudinal Event Data

This course is an introduction to event-history analysis (also known as survival analysis or intensity regression).

Duration data is commonly used to address many research questions in demography, the social sciences, and epidemiology. Examples of such questions include: Which factors influence how long people live, how long they stay unemployed, or when they start a family?

This course introduces techniques for analysing such questions and data, and it covers univariate and basic multivariate (regression) methods for the analysis of duration (event-history) data. Students also learn data management skills specific to conducting event-history analysis in Stata.


Teaching Format

The course is given half-time over a 10-week period. Coursework and examination consist of lectures, research output from demographic studies, and computer-based exercises. The exercises are done with the latest Stata statistical package using data from the European Social Survey.

Assessment

Examination is based on active participation including a short study presentation, computer exercises, and a take-home exam.

Examiner

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.


Note that the course literature can be changed up to two months before the start of the course.


Course reports are displayed for the three most recent course instances.