Reading and Writing Statistics in Clinical Publications

This course familiarizes participants with the essential statistical principles clinical publications are commonly based on.

Participants disentangle the reported statistics in several high-ranking publications from both experimental and observational medical studies. By learning to understand the statistical principles that underlie these diverse publications, participants acquire the skills to critically evaluate a wide diversity of statistical results that they may encounter in the clinical literature.

At the same time, the gained statistical knowledge will aid participants to plan statistical analyses for their own future studies, to interpret the results of these analyses, and to present the statistical results in a way that is correct and convincing.

Upon successful completion of this course, participants will be able to

  • Understand the different levels of evidence. 
  • Formulate scientifically sound hypotheses.
  • Choose appropriate study designs.
  • Understand the importance of statistical analysis plans and selection of appropriate measurements.
  • Understand hypothesis testing, its specific techniques, and underlying assumptions.
Course language: English
Duration: 6 x 4 hours in the afternoon
Next Start: March 12, 2026
Workload and ECTS:60h and 2 ECTS

Course dates 2026
6x Thursdays, 13.00 - 17.00h starting March 12, 2026.

  • 12.03.2026
  • 19.03.2026
  • 26.03.2026
  • 09.04.2026
  • 16.04.2026
  • 23.04.2026

This course requires participants to attend one afternoon session a week for 6 weeks. Each session typically consists of lectures and assignments, both performed individually and in groups.

6 x 4 hours on-site training
Workload approx. 60 hours

Certificate of attendance will be issued after successful course completion. The crediting of 2 ECTS requires:

  • Completed pre-assignments.
  • Attendance in at least 5 of 6 sessions and active participation in weekly discussions  
  • Completed homework assignments.

For PhD Students: To add this course to your academic record, please create a Learning Contract on MOnA (choosing your supervisor as the assessor and pass/fail as assessment) before the start day of the course and follow the instructions of your respective faculty.

This course is open for everyone who is interested in gaining an overview of essential statistical principles clinical publications are commonly based on. The course is specifically tailored for PhD students of the PhD subject Clinical Research enrolled at the University of Basel, Faculty of Medicine.

Moreover, PhD students of the other PhD subjects of the Faculty of Medicine (Biomedical Engineering, Biomedical Ethics, Medicines Development, Nursing Science, Public Health/ Epidemiology or Sport Science) are eligible to register for the course.

Minimum 8 and maximum 15 registered participants. 

CHF 1'200
Reduced course fee DKF research group members (for details see *)

*)The Department of Clinical Research (DKF) offers training grants for members of DKF research groups which result in a reduced fee of CHF 600. Please note, that training grants can only be offered to DKF clinical research group members, who are working at the group leaders’ local study centre.

Limited free places available for PhD Students of all PhD subjects of the Medical Faculty of the University of Basel.

Cancellation of your registration is possible until 10 days before the course date. Cancellation thereafter or absence from the course will result in a cancelation fee of half the course fee. 

The course fee includes course materials and provision during coffee/tea breaks. 

  • Director of Studies:
  • Dr. Andrea Kiemen
     
  • Teaching Staff:
  • Marco Cattaneo, PhD, Senior Statistician, Department of Clinical Research
  • Michael Coslovsky, PhD, Teamleader Data Analysis/Statistics, Department of Clinical Research
  • Nikki Rommers, PhD, Statistician, Department of Clinical Research

Mareike Gräter
Training and Education
Department Clinical Research (DKF), University of Basel
c/o University Hospital Basel
Spitalstrasse 8/12
CH-4031 Basel

mareike.graeter@usb.ch
Tel. +41 61 556 59 76

Please register here.

Registration deadline is February 24, 2026

Medical Faculty of the University of Basel

Recommended reading: Will be announced in time before each session.

University Hospital Basel
Department of Clinical Research
Spitalstrasse 8
4031 Basel
2nd floor, Sitzungszimmer ZWEI

 

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