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Consultancy

The Biostatistics Centre is a centre of expertise for statistical and machine learning methods at the NKI. Our research involves finding solutions to methodological problems that arise from data analysis in practice. This includes developing and implementing novel approaches to study design and analysis of complex data. Studies and data are becoming increasingly ambitious and complex as new findings and technology emerge. In the past few years, we have built many collaborations within the NKI to tackle these problems.
Our centre offers statistical consultancy to all researchers located here. Our expertise can be used from study design to analysis planning and execution, and interpretation of results. We strongly advise that researchers involve us as early as possible in projects.

We also organize several courses regularly to give researchers a good basis to plan, execute, organize and analyze their own data, based on principles of reproducible research. Our courses include: Introduction to R (every year), Medical Statistics with R (every year) and Statistics for Omics (every two years).
Contact us: biostatistics@nki.nl

Our expertise

Our group has wide expertise in data analysis in various areas, including:

classic statistical problems
(multi) omics data
genetic screen data
classification studies, also with omics data

Think before you start!

“To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of.” R. A. Fisher, geneticist, biologist and statistician.

Get in touch with us early on during project development. The success of a project relies heavily on good planning, including experimental design and power calculation. We can advise researchers on these topics, including when high-dimensional data is involved.

Starting with the main research questions, we help you put together an experimental design and an analysis plan. Power analyses can subsequently be done. This part should be included in the project proposal.

Preparing your data

Instructions of how to prepare your data can be found here.

Transparent and reproducible research

Data analyses need to be well understood by all involved in the project. In addition, research results must be reproducible and traceable, so that someone else later on can follow and reproduce findings.
To this end, we use R for all data analysis. It gives flexibility as even relatively new statistical methods are implemented as R packages. In addition, we make dynamic reports combining comments (describing the analysis), scripts (performing the analysis), and results (including graphics). This is done by using RMarkdown.

Contact us

Researchers can contact us via: biostatistics@nki.nl for an appointment.

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