Quantitative study design – Prof. J. Weyler
Principles of prognostic (cohort), etiologic (case-control) and diagnostic (cross-sectional) research will be explained with a focus on study object, data collection (design methods) and data analysis. In addition, more recent design types will be presented as case-cohort, case-cross-over studies. The participants will be able to select the best research design taking into account the specific context (domain) and the specific research question (etiognostic, diagnostic, prognostic).
Methods of data analysis/biostatistics – Prof. G. Molenberghs
Analysis of scientific data will gradually progress from basics (ttest, chi², ANOVA...) to further analyses related to the study-designs discussed in the first module:
• Lineair regression;
• Logistic regression (inclusive model validation and diagnostic regression);
• Poisson regression analysis of time related data (‘event-history’) with attention to Cox proportional hazard modelling.
Students will also be introduced to longitudinal data analysis.
Qualitative study design – Prof. H. Bastiaens
We will explain why and when qualitative research can be used, and assess its validity and reliability.
• focus group research
• case studies
• ethnographic research
• phenomenological research
The students will be able to design their own qualitative study, analyse qualitative data and design and publish qualitative research studies (using NVivo or Atlas software).
To have an idea of the day-to-day programme during the 6-week course you can download the schedule of the fourth EBQ (2016).
Download the EBQ programme outline 2016 (pdf - 262kB)