methodological and statistical support to help make a difference
At Your Service
for our VUB-UZ Brussel research community
Prof. Dr. Kurt Barbé
Dr. Wilfried Cools (Jette)
Dr. Oscar Olarte (Jette)
Dr. Lara Stas (Etterbeek)
Supporting Researchers (BISI)
Prof. Dr. Kurt Barbé
Prof. Dr. Ronald Buyl
Dr. Iris Steenhout
Dr. Oscar Olarte
Drs. Susanne Blotwijk
Drs. Sven Van Laere
Drs. Hanif Shaikh
Drs. Camille Raets
Financially supported by
Research board, University Medical Campus
Vice-rectorat Research Policy
Whom We Serve
Master Student (Thesis) in Jette
to get a push in the right direction
General guidance on strategies, techniques, software and communication of design and statistics.
to get your study and analysis up and running
A look over your shoulders to ensure appropriate methodology and statistics and help its communication, possibly taking over parts of the data analysis.
to get fully dedicated support for your study
Full involvement in study design and/or data analysis, in optimizing the data collection and processing for recurrent studies and in bringing in the latest statistical techniques.
to help safeguard research quality and ethics
Reviewing and refereeing research protocols and proposals to promote efficient / effective studies, reducing costs for patient, lab animal, researcher.
How We Serve
asking the right questions the right way
Statistical and methodological advice on data analysis and data collection (eg., sample size), on communicating statistics and results, on writing protocols and research proposals.
getting the relevant information out of it
A full collaboration implies taking our responsability for implementing (parts) of the analysis, communicating the results and responding to remarks made by reviewers.
learning to do things yourself
Workshops and seminars are provided to enhance the existing proficiency in statistical and methodological reasoning where needed.
getting the computer to do it for you
Parts of the data collection, data analysis and reporting can be automated to avoid repetitive work, errors and time loss, and to promote uniformity.
Sample Size Calculation with GPower
Workshop to introduce he necessary concepts, covering power, effect size and type I/II errors, with small illustrative exercises to touch on relevant statistical reasoning. While focusing mainly on the comparison of 2 independent groups, several extensions are highlighted. Get online slides or pdf download.
Methodological & Statistical issues in research proposals
Info session for experienced researchers to highlight the research aim and design as part of a research proposal, touching on types of research aims (confirmatory, exploratory, preparatory, techn(olog)ical) and different aspects of research design (quantity & quality of observation and generalization). Get webpage, for online slides or pdf download.
All Shiny Apps deployed at icds.shinyapps.io
The Apps can be run locally too, using the R package `shiny` with the function
alpha spending (sample size calculation)
sample size calculation with Alpha Spending, using simulation
effect sizes (two way anova and repeated measures)
effect size calculation based on group means and pooled standard deviation
sample sizes for T-test (didactical tool)
explore relation data and independent t-test