Applied Statistics using R: Analysing Medical Data

Due to the current situation, the spring course course is cancelled.

R is a free, open-source software for statistical computing and graphics. In this course you will learn how to use this powerful tool for handling, analysing and displaying your data. You will analyse data by writing functions and scripts to get reproducible and well documented results. You will learn how to create excellent graphics and how to adapt them to your needs. We will use data from clinical background to work throughout the course. Main topics covered during this course will be: Basics of the R language, data accessing, data manipulations, explore and summarise your data using descriptive statistics, graphics in R, data analysis with focus on basic statistics (e.g. hypothesis testing, linear and logistic regression). Additional topics can be introduced, depending on the need and interest of participants (e.g. survival analysis and ROC curves).

During this course, a variety of teaching methods including lectures, exercises and interactive group discussions will be applied. Mandatory home assignment will complete the learning portfolio. Please bring your own notebook with an installation of R, available from

This course is open for everyone who has to work with data and wants to learn how to use R. It is especially appropriate for clinical investigators and research personnel involved in the statistical analysis of clinical research projects.

  • Deborah Vogt, PhD
  • PhD Andrea Wiencierz

Daniel Hammes, PhD
Aus- und Weiterbildung
Clinical Trial Unit
Universitätsspital Basel
Schanzenstrasse 55
CH-4031 Basel
Tel. +41 61 328 54 16
Weiterbildungen Departement Klinische Forschung

CHF 1‘500

Fee includes course materials and provision during coffee/tea breaks. The Department of Clinical Research at the University of Basel is supporting members of registered clinical research groups by granting reduced course fees. If applicable, please provide the name of your clinical research group leader in the application form to be considered for a grant.

Please inform us about any change of employment after course registration and/or during the course. 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.

Clinical Trial Unit, University Hospital Basel

The course is conducted two times a year (in spring and autumn).

Course dates autumn 2020
11 November 2020
18 November 2020
25 November 2020

Certificate of attendance by the University of Basel, Advanced Studies. 1 ECTS


Seminarräume Advanced Studies, Steinengraben 22, 4051 Basel

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