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Team of consultants
Bob De Clercq has a PhD in Bioscience Engineering and a Master in Statistical Data Analysis. After spending more than a decade in industry, he found his way back “home”. He has a broad interest in R&D in many areas of technology, with passion for modelling and data sciences. Besides statistics, he shows a large interest in machine learning.
After obtaining a Master’s degree in Physics, a Master in Statistical Data Analysis provided Dries Reynders an even broader field to model and explore reality with mathematical tools. His main area of expertise are clinical trials, survival analysis and causal inference of observational data.
Emmanuel Abatih has Masters in Applied Statistics, Biostatistics and Statistical Bio-informatics all from Hasselt University (Belgium). His PhD, obtained in Denmark, was on the application of statistical methods in the field of Veterinary Epidemiology. He has broad teaching and consulting experience in statistics. His main areas of expertise are risk analysis, statistical modelling of multivariate data and software training in R, SAS and STATA.
Jef Vlegels (PhD) has a Master in Sociology and Applied statistics. His research background is situated in sociology of education, cultural sociology and the sociology of education, focusing on methodological and statistical innovations in the field. Among other things, he is an expert in survey methodology, mixed models and (social) network analysis.
Limin Liu, a Shanghai city native, studied social work and sociology in Beijing and Berlin. After finishing her doctoral dissertation on the educational inequality in the access to elite higher education, she relocated to Europe and continued her study in the field of sociology of education in Germany and Belgium successively. Upon her empirical research experience in sociology, she accomplished the MaNaMa training in Statistical Data Analysis at Ghent University. Now she is a statistician with social science background and is interested in both quantitative and qualitative methods.
Tine Willems has a PhD in Rehabilitation Sciences and Physiotherapy and a Master in Statistical Data Analysis. Her research background is situated in sports injury risk factors determination and the consequences / treatment of musculoskeletal disorders. She has several years of experience in clinical trials and is most familiar with regression and survival analysis.
- Prof. Beatrijs Moerkerke
- Prof. Christophe Ley
- Prof. Dries Benoit
- Prof. Els Goetghebeur – Director
- Prof. Jan De Neve
- Prof. Luc Duchateau
- Prof. Ronan Van Rossem
- Prof. Stijn Vansteelandt
- Prof. Tom Loeys
- Prof. Yves Rosseel
Stat-Gent joined the SISAQOL consortium (25-9-2020)
SISAQOL (Setting International Standards in Analyzing Patient-Reported Outcomes and Quality of Life endpoints) is an international Consortium of experts convened with the aim to develop recommendations for the analysis of patient reported outcomes (PRO) data in cancer randomized trials. The SISAQOL consortium consists of leading HRQoL researchers and statisticians, key individuals from various international medical societies, advisory and regulatory bodies, academic societies, pharmaceutical industry, cancer institutes and patient advocacy organizations. Recently, Stat-Gent joined the statistical methods working group of the SISAQOL consortium to develop guidelines for the design and analysis of PRO measures for non-RCTs in cancer studies with a specific focus on single-arm studies.
Our co-authored paper has won the Resident Corner Award (20-8-2019)
Our co-authored paper Metastasis-directed Therapy in Treating Nodal Oligorecurrent Prostate Cancer: A Multi-institutional Analysis Comparing the Outcome and Toxicity of Stereotactic Body Radiotherapy and Elective Nodal Radiotherapy has been selected as one of the Resident Corner Award winning papers published in European Urology in 2019. Read the paper