Essential statistics for medicine I

The short course Essential Statistics for Medicine I aims to assist participants in accessing and/or refreshing their statistical knowledge for its application in medicine.

Statistics for Medicine

This course is also recognized as pre-​​course for the continuing education programmes CAS ETH in Modern Concepts in Clinical Research or MAS ETH in digital Clinical Research.


In this short course we will use interactive online learning to build an intuitive concept of essential aspects of statistics in medicine. Each week participants will be tasked with exploring concepts such as random variables and hypothesis tests. Concepts will be translated into medical examples.

This introductory course includes access to an online learning environment, references to textbooks, blended learning, and feedback. A 3-hours coaching session per week helps understand and translate the blended-learning content into real-world medical examples and research articles. It will help participants with accessing and/or refreshing their statistics for its use in medicine.

Course content (one block per week)

Block 1: Introduction to probability, data analysis & statistics
Block 2: Statistics fundamentals
Block 3: Random variables & distributions
Block 4: Statistical data analysis

12 contact hours, 16-20 hours self-study, Contact hours at ETH Zurich: 17.10, 24.10, 07.11 and 14.11.2025 (13:00–16:00)

Course dates

Friday, 17 October 2025, 13:00-​16:00 (ETH Zurich)
Friday, 24 October 2025, 13:00-​16:00 (ETH Zurich)
Friday, 07 November 2025, 13:00-​16:00 (ETH Zurich)
Friday, 14 November 2025, 13:00-​16:00 (ETH Zurich)

Course lead: Dr Daniel J. Stekhoven, NEXUS Personalized Health Technologies, ETH Zurich

Contact: Sara Gerber, NEXUS Personalized Health Technologies, ETH Zurich

E-​mail: sara.gerber@nexus.ethz.ch

Course language: English
Course fee: CHF 1300, CHF 500 for ETH employees
Registration deadline: 10.10.2025

external page Register now.