Course Cancer Epidemiology using the Danish Clinical Cancer Databases

ECTS: 3.3

Course leader: Deirdre Cronin Fenton

Language: English

Graduate school: Faculty of Health

Graduate program: ClinFO

Course fee: 3,960.00 DKK

Status: Course is open for application

Semester: Spring 2025

Application deadline: 31/03/2025

Cancellation deadline: 14/04/2025

Course type: Classroom teaching

Start date: 12/05/2025

Administrator: Thilde Møller Risgaard

The course C245/10 Cancer Epidemiology using the Danish Clinical Cancer Databases is being offered by the Graduate School of Health, Aarhus University, spring 2025.

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).

Requirements for participation: Basics of epidemiology (undergraduate level), oncology/cancer research knowledge and some knowledge of statistics. Knowledge of a statistical program – examples will be presented in STATA or R.

Aim: To provide students with an overview on how to take a research idea through to implementing, analysing, and interpreting an epidemiologic study using the Danish Clinical Cancer Databases, and Denmark’s network of medical and population-based registries. Each concept will be introduced in a lecture. Through a combination of exercises and computer labs, students will be provided with guidance on implementing, analysing and interpreting studies using data from the clinical cancer databases. Students are not required to complete an exam at the end of the course.

Target group: Ph.D. students working/planning to work on data from the Danish Clinical Cancer Databases.

Learning outcomes: 

  1. Identify and design a clinical epidemiologic research study using the Danish Clinical Cancer Databases – comparing and contrasting study designs in order to suitably address a research question
  2. Identifying and ascertaining data from the Clinical Cancer Databases
  3. Assessing study validity and implementing validity checks
  4. Data analysis including data cleaning and implementing survival analysis using Stata
  5. Evaluating study findings, interpreting and reporting study findings

Workload: The full workload of the course is expected to be 30 hours

Content: The course includes lectures, exercises and computer labs.

Instructors: Deirdre Cronin Fenton, Mette Nørgaard, Julie Schmidt, Cathrine Hjorth, Therese Grønborg, Peter Jepsen, Jannik Wheler.

Venue: Aarhus University, Aarhus

Participation in the course is without cost for:

Course dates:

  • 12 May 2025 09:00 - 15:30
  • 13 May 2025 09:00 - 15:30
  • 14 May 2025 09:00 - 15:30
  • 15 May 2025 09:00 - 15:30
  • 16 May 2025 09:00 - 15:30