This course gives an introduction to survival analysis for clinical and observational studies. The students will be able to apply modern survival analysis ranging from design of study to selection and interpretation of publishable results. The students learn how to investigate and test differences in time to events, eg diagnoses under various exposures, conditions and hypotheses.
The participant will be introduced to the everywhere used descriptive Kaplan-Meier survival curve of censored or truncated time to event data; The Cox proportional hazards model and its validation; The extension to time-varying exposures, competing risks, multiple states and causal inference; The design of survival studies, various types of censoring and ; Prediction from survival models and presentation of obtained results.
Course credit: 1,4 ECTS.
Lectures, exercises and paper discussion.
Course leader: Professor Jacob Hjelmborg, Epidemiology, Biostatistics & Biodemography, SDU.
The course is free of charge for PhD students enrolled in Universities that have joined the "Open market agreement".
For other participants there is a course fee of DKK 2320,-