Course Statistical analysis of time to event data

The course P130/12 Statistical analysis of time to event data is being offered by the Graduate School of Health, Aarhus University, 2023.

Criteria for participation: University degree in medicine, dentistry, nursing, or Master’s degree in other fields and/or postgraduate research fellows (PhD students and research-year medical students).

Note! That participation in the course requires completion of ‘Basic Biostatistics’ part 1 and 2 or similar.

Aim: To provide an introduction to the design, analysis and interpretation of time-to-event data.

Learning outcomes:

• Document and handle data needed for a statistical analysis of time-to-event data
• Chose a relevant statistical model for a given research question and evaluate the assumptions of the statistical analysis
• Perform a statistical analysis based on the chosen model
• Describe the results of the statistical analysis, and discuss the results in relation to the scientific question
• Make simple calculations of sample sizes for the planning of a comparative study

Workload: The full workload of the course is expected to be 36 hours

Content: Basic aspects of time-to-event data including censoring, truncation, choice of time scale, and competing risks. Estimation of survival curves, simple and stratified comparisons of survival curves. Sample size calculations for a clinical follow-up study with censored data. Use of Cox regression and the pseudo observation method regression to analyze data with explanatory variables. The statistical software packages R and Stata will be used in the course.

Instructors: Erik Thorlund Parner, Morten Overgaard

Venue: Aarhus University, Aarhus

Participation in the course is without cost for:

• PhD students, Health Research Year students from Aarhus University
• PhD students enrolled at partner universities of the Nordoc collaboration
• PhD students from other institutions in the open market agreement for PhD courses

Course dates:

• 06 November 2023 09:00 - 16:00
• 09 November 2023 09:00 - 16:00
• 13 November 2023 09:00 - 16:00
• 16 November 2023 09:00 - 16:00