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Introduction
Are you involved in clinical research and do you feel the need to update and further develop your knowledge and skills of statistics? Then this course is perfect for you! We will aim to enhance basic understanding of statistical principles that are necessary to evaluate the scientific literature in your field, to choose and perform statistical methods for your own research project, and to train you in communication with a statistical consultant when more complex types of statistical analyses are needed. The emphasis will be on understanding how to interpret statistical results and how meaningful conclusions can be drawn for relevant (clinical) research questions.
In short
• Education type: post-initial course
• Start date: 2 June 2025
• All course dates: 2, 3, 11 & 12 June 2025
• Language: English
• Duration: 4 days
• Cost: €995 (including lunch)
• Accreditation: requested (ABAN, 24 points)
• Study load is 2.0 EC
• Subject: Statistics
• End result: Certificate
• Location: Radboudumc, Nijmegen
• Coordinators: Dr. Scott Maurits and Dr. Caroline van Baal
• Other teachers: Prof.Dr. Kit Roes, Dr. Rogier Donders, Dr. Jordache Ramjith, Dr. Steven Teerenstra.
• Online or live: Live
• We aim to provide this course on an annual basis. Therefore, the next edition is expected at the start of summer 2026
For whom?
The target groups for this course are PhD students and healthcare professionals (nurses, doctors, paramedics) who have previously followed an introductory course in (bio) statistics and who want to refresh / increase their knowledge of the most common types of statistical methods.
Program
The course consists of four days and eight learning units (a one-hour lecture and a two-hour practical session). Three half-hour timeslots are reserved to “Meet The Expert”, where you can discuss your own research (or any other statistical topic) with an experienced statistician.
Topics:
• Variation
• Descriptive statistics
• Confidence Intervals and Hypothesis Testing
• t-tests and P-values
• Linear Regression
• Comparing more than two means
• 2x2 table, logistic regression, correction for confounding
• Sample Size and power
• Repeated measures
• Survival analysis
Learning objectives
At the end of the course, the participant will:
• have an overview of commonly used statistical methods in biomedical research;
• be able to communicate more efficiently with the biostatistician;
• be able to apply basic statistical methods;
• be prepared for more advanced biostatistical courses (Survival analyses, Missing values, Meta analyses, Multilevel data).
Course material
Handouts will be provided during the course. All students will have access to the self-study course on biostatistics via Brightspace (including instructional videos and self-tests).
Statistical Software
During the practical sessions, students can do exercises in R / R-Studio or in SPSS. Please note that this is not a course in statistical programming: we expect some prior knowledge on one of these statistical programs (but don’t worry if you are a bit rusty….).
Course coordinators / teachers
Coordinators of the course:
Scott Maurits is assistant professor and consultant at the Biostatistics unit of the Radboudumc. He advices researchers on various topics from all departments. Moreover, he teaches biostatistics in several courses for the Bachelor and Master of Biomedical Sciences and Medicine
Dr. Caroline van Baal is Associate Professor at the Biostatistics unit of the Radboudumc and at UMC Utrecht. She teaches and develops courses in biostatistics at various levels (Bachelor, Master, Post-initial) and is consultant for research using clinical trial methodology.
For information on other teachers in the course, see Biostatistics Radboudumc.
To register
Please register by filling out this form.
Deadline for application (2025 edition): May 9, 2025
Registration will be limited to 25 participants. Please note that we require a minimum number of students. After the deadline you will receive notification in case this minimum is not reached.
View the general terms and conditions here. How we handle your data can be read in the Radboudumc student privacy policy.
More information?
Please contact Caty van Tol - Hoek.
If you would like to be informed about the next course, please notify us by using this link.