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. S. Abrams
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, Prof. S. Anthierens, PhD. G. Tsakitzidis & Prof. dr. Paul Van Royen
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).
Systematic reviews and Meta-analysis – PhD. N. Pauwels & PhD. E. Deschepper
The course will teach the different steps to take to perform a high-quality, methodologically sound and reliable systematic review and meta-analysis. The course is filled with workshops preparing the participant to get immediately started with his/her own systematic review and meta-analysis.
Health economics and cost-effectiveness - Dr. P. Suykerbuyk
This lecture will provide insights for performing cost-effectiveness analysis, as well as understanding the issues faced by health economists.
Introduction to the use of statistical packages (R) - PhDc. C. Delgado-Ratto, Msc. S. Nakato & PhDc. L. de Thurah
The students will learn how to use R software during hands-on statistics’ exercises with databases. The practical lessons on descriptive and inferential statistics will provide the basis to comprehensibly analyze their own databases using either of this software package.
Research Project (R & Nvivo) – Prof. J.-P. Van geertruyden & colleagues
Students will conduct their own data analysis.Depending on the research topic, the student may analyse quantitative or qualitative data, perform a meta-analysis or perform a cost-effectiveness analysis. Study analysis will be presented by the students throughout the sessions and results will finally be presented in a congress style session at the end of the course. (Tutoring possible in English, French, Spanish, and Dutch)
A Certificate of Attendance will be awarded after completion of the course.