competence centre for methodology and statistics
The Competence Centre for Methodology and Statistics (CCMS) supports LIH research units and international pharmaceutical industry players by providing them with high quality methodological and statistical services.
Activities
The objectives of CCMS are to provide high-standard statistical and data-processing support, and to maintain high ethical standards as regards to research, the reporting and analysis of statistics and the preparation of data-bases. The CCMS provides methodological support in statistical planning and analysis and data handling for various laboratories and research groups within the LIH, as well as offering training in statistics and support for writing papers.
Services provided
- Planning of clinical, epidemiological and laboratory studies including sample size or power calculations, design of studies
- Support for grant applications and publications
- Data handling
- Statistical analysis adapted to the design of the study (e.g. matched case-control, longitudinal, survival) or clinical trial (e.g. cross over, non-inferiority)
- Mapping and curation for centralised databases
- Secondary analyses and metaanalyses
- Statistical education and training (internal and external short courses)
- Consultancy for commercial organisations
HEAD OF UNIT
Partners
Projects & clinical trials
Featured team members
Bauer Clinical Data Manager
Bocquet Senior Biostatistician
Camara Visiting Researcher
Celebic Team Leader
El Anbari Biostatistician – Clinical Trials
Le Coroller Team Leader
Mendon Clinical Data Manager
Neven Biostatistician – Clinical Trials
Scientific publications
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Onchocerca volvulus infection prevalence and intensity in Logo and Nyarambe Health Zones in Ituri, Democratic Republic of the Congo in 2010 and in 2021-2023 – 16/03/2026
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Possible effect of neutropenia on the efficacy of artemisinin-based combination therapy in pregnant women in Mali – 27/01/2026
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Data-driven clinical decision support tool for diagnosing mild cognitive impairment in Parkinson’s disease – 12/01/2026
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Chemical pollutant mixtures associated with metabolic health – 10/10/2025
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Author Correction – 07/11/2025
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Co-occurrence of memory impairment and fatigue distinguishes post COVID from pandemic-related health effects in the 4-year CON-VINCE cohort study – 27/10/2025
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Interpretable Machine Learning for Cross-Cohort Prediction of Motor Fluctuations in Parkinson’s Disease – 22/04/2025
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Immunophenotyping of Patients With Rheumatoid Arthritis Reveals Difference in CD27+IgD+ Unswitched Memory B Cell Profiles – 29/07/2025
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Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson’s disease – 26/07/2025
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Penetrance of Parkinson’s disease in GBA1 carriers depends on variant severity and polygenic background – 12/06/2025
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