Essential statistics for medicine I
The ETH Pearl Essential Statistics for Medicine I aims to assist participants in accessing and/or refreshing their statistical knowledge for its application in 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 ETH Pearl, interactive online learning is utilised to develop an intuitive understanding of essential aspects of statistics in medicine. Each week, participants will engage in exploring concepts such as random variables and hypothesis tests. Additionally, a three-hour coaching session per week will aid in comprehending and applying the blended-learning content to real-world medical examples and research articles. The coaching sessions will be conducted on-site at ETH Zurich.
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
The course has a total duration of 4 weeks, with an allocation of 4-5 hours per week for self-study (totaling 16-20 hours of self-study) and 3 hours of contact time per week.
Course lead: Dr Daniel J. Stekhoven, NEXUS Personalized Health Technologies, ETH Zürich
Contact: Sara Gerber, NEXUS Personalized Health Technologies, ETH Zürich
E-mail:
Course language: English
Course fee: CHF 1300, CHF 500 for ETH employees
Registration deadline: 30.04.2024
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