Teaching and training

Academic courses

The courses taught by the different members of the B-STAT centre are described in the institutional course loads and listed in the ULiège directory of team members. These courses cover a wide range of fields, including biostatistics, epidemiology, research methodology and nutrition.

Continuous education programmes

The B-STAT Centre provides documentation and training for researchers.

Our current training catalogue :

Our online trainings

• Introduction to the R-Rcmdr software : be able to carry out descriptive statistical analyses, apply basic hypothesis tests and interpret the results obtained using the R software via its Rcmdr interface. 

Our face-to-face trainings

• Introduction to the R-Rcmdr software : be able to carry out descriptive statistical analyses, apply basic hypothesis tests and interpret the results obtained using the R software via its Rcmdr interface.
• Database mining and graphs with the R package ggplot2 : be able to explore a database, manipulate it and summarise the information it contains using various parameters and graphics in the ggplot2 package.

Our methodological supports

• Preparation of a datafile for statistical analysis : to learn more about the elements needed to correctly create a database in Excel.
• Interpretation of survival analysis : learn to read and correctly interpret a survival curve and its associated statistical results. 
• Diagnostic values of a test and ROC curve : learn to read and correctly interpret the diagnostic values of a test as well as the concepts of ROC curve and area under the curve (AUC).

Our training courses in partnership with external researchers:

• Agreement measures : be able to plan a reliability, agreement and validity study, choose the most appropriate measure(s) to summarise the results according to their study design and interpret these. This training was given by Dr Sophie Vanbelle (Care and Public Health Research Institute, Department Methodology & Statistics, Maastricht University).

• Sample size calculation : be able to determine a sample size in specific cases. This training was given by Prof. Gerard van Breukelen, Professor of Methodology & Statistics (Department Methodology & Statistics, Faculty of Psychology & Neuroscience and Faculty of Health, Medicine & Life Sciences, Maastricht University).

Themes in preparation and soon in our catalogue  :

• Linear models and application with the R-Rcmdr software : be able to perform and interpret different linear, simple and multiple models.
• Introduction to the Rstudio software: be able to carry out descriptive statistical analyses, apply basic hypothesis tests and interpret the results obtained using RStudio.