Statistical consulting

Stat-Gent Crescendo

Stat-Gent Crescendo offers consultancy about statistics and data-analysis to professionals from the academic, public and the private sector. Its members cover a wide range of experience in different areas of application with a variety of statistical techniques and data-analytic tools. Each project is managed by one of the consultants and supervised by an UGent professor.


Stat-Gent Crescendo offers support with data analysis projects, custom training, and software solutions. Past collaborations include projects about

  • air and water quality,
  • behavioral sciences and item response theory,
  • biotechnology and agriculture, biomarkers, diagnostics, statistical genetics and preclinical models,
  • the design and analysis of clinical studies,
  • econometrics, marketing and CRM,
  • health economics, epidemiology, evidence-based medicine, translational medicine, quality of care, and drug intake,
  • production processes in the food industry and food safety,
  • surveys, political and social sciences,
  • veterinary medicine and animal welfare.



phone: +32 (0)9 264 96 87


FIRE (Fostering Innovative Research based on Evidence) statistical consulting offers to Ghent University doctoral students and postdocs:

Two separate two hour statistical consults .
The possibility of statistical analysis if needed.

Advice may concern different phases of your scientific research including study design, data collection, statistical analysis, and the interpretation and reporting of study results.

Some faculties and departments have their own statistical consulting service, which you may want to contact first:

Faculty of Medicine and Health Sciences - Biostatistics unit
Faculty of Veterinary Medicine: contact Luc Duchateau
Department of Plant Biotechnology and Bioinformatics, contact: Veronique Storme
Faculty of Psychology and Educational Sciences - Statistics support

Make an appointment

Request a meeting with the consulting request form


Have a quick question or looming deadline? Use our drop-in hours:

Wednesday from 14:00 to 18:00

Room, 3rd floor, building S9, Campus De Sterre, Krijgslaan 281, 9000 Gent

Questions are answered on a first-come, first-served basis, with no appointment necessary.

In light of the current COVID-19 pandemy, FIRE drop-in sessions will be organised digitally for the time being. Please use the consultation form to book a meeting with Microsoft Team. A member from FIRE will contact you. Microsoft Teams is largely self-explanatory, go to and you can start readily. More information can be found on the helpdesk page of DICT.

Research Data Management

Research Data Management (RDM) entails all actions needed to ensure that data are secure, easy to find, understand, and (re)use, not only during a research project, but also in the longer term. Ghent University has a website dedicated to Research Data management.


The Center for Statistics of Ghent University has been recognized as a formal Ghent University expert center. We obtained funding for the coordination of the range of services offered and renewed support for FIRE.

Thanks to the financial support from the Special Research Fund (BOF), FIRE is operational as of February 1, 2017. We are able to offer free statistical support to (post) doctoral researchers in their efforts to design, analyze and publish studies based on data. Under the current operational mode, each student/client is entitled to a maximum of 2 separate 2-hour periods of help from experienced and dedicated staff, free of charge. Arrangements are possible if more time will be needed. Please apply for a consult using the consulting request form, where terms and conditions of service are explained.

Looking to the future, we will be working to expand our services and grow back into full time mode through tapping into existing channels that finance research. In light of this, we encourage all researchers applying for grants to foresee some budget in the application to cover for expert professional statistical support. At this center you will be able to obtain such help at no more than the basic cost.