Applied Statistics using R: Analysing Medical Data
|Location||Basel, North West Switzerland, Switzerland|
R is a free, open-source software for statistical computing and graphics. In this course, you will learn the programming techniques to make the most of this powerful tool for processing, analysing and presenting your data. Please note that basic statistical knowledge is required. 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).
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 ?url=www.r-project.org&module=edu&id=2458" target="_blank" rel="nofollow">?url=www.r-project.org&module=edu&id=2458" target="_blank" rel="nofollow">www.r-project.org .
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. Please note that this course focuses on programming in R. Moreover, it is assumed that all participants have some basic knowledge of statistics.
Mareike Gräter Aus- und Weiterbildung Departement Klinische Forschung (DKF), Universität Basel c/o Universitätsspital Basel Spitalstrasse 8/12 CH-4031 Basel
firstname.lastname@example.org Tel. 0041 (0)61 556 59 76
Available Mon-Thu 08.30h - 13.30h
Fee includes course materials and provision during coffee/tea breaks.
The Department of Clinical Research (DKF) offers training grants for members of DKF clinical research groups . Applications for training grants can be submitted when registering for the program.
Please note, that training grants can only be offered to DKF clinical research group members, who are working at the group leaders’ local study center.
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.
The course is conducted two times a year (in spring and autumn).
Course dates autumn 2023
Course Dates Spring 2024 (Registration possible from autumn 23)
Course Dates Autumn 2024 (Registration possible from autumn 23)
Certificate of attendance by the University of Basel, Continuing Education. 1 ECTS
In your contacts, please refer to myScience.ch
and reference edu.myScience.ch/id2458
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