Logistic regression and survival analysis
About
The general theme of the course is statistical analysis with binary reponse variables and multiple predictors. Logistic regression is usually used in cross sectional studies to estimate odds ratios associated with different predictors while survival analysis is used in longitudinal studies when the time to an event also is of importance. The lectures are in common with courses for PhD students at the medical faculty and has a substantial focus on interdisciplinary collaboration in applications with real data.
Prerequisites and selection
Requirements
Knowledge corresponding to the courses MMG200 Mathematics 1, MSG200 Statistical Inference, and MSG500 Linear Statistical Models.
Facilities
Mathematical
Sciences is a joint department of Chalmers/University of Gothenburg. Your
education takes place in the spacious and bright premises of Mathematical
Sciences at the Chalmers campus Johanneberg, where there are lecture halls,
computer rooms and group rooms. Here you can also find student lunch room and
reading room, as well as student counsellors and student office.