Programme summary

Major topics

  1. Quantitative study design – Prof. J. Weyler
    Principles of prognostic (cohort), etiologic (case-control) and diagnostic (cross-sectional) research will be explained with 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).

  2. 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.

  3. Qualitative study design  – Prof. H. Bastiaens
    We will explain why and when qualitative research can be used, assess its validity and reliability:

    focus group research,
    case studies,
    ethnographic and
    phenomenological research.

    The students will be able to design their own qualitative study, analyse qualitative data and design and publish qualitative research studies. (software used NVivo or Atlas).

Introductory lectures (3 hours each)

  1. Systematic reviews   – Dr. C. Simoens
    This lecture will enable students to describe the principles and interpret the results of systematic reviews and critically appraise existing systematic reviews.
  2. Meta-analysis  – Prof. T. Burzykowski
    This lecture is complementary on the systematic review lecture but will provide the principles and methods and hands on exercises for meta-analysis in Medical Research.
  3. Health economics and cost-effectiveness  – Dr. Patrick Suykerbuyk
    The lecture will provide insights for those who want to (let) perform cost-effectiveness analysis and those who need to understand the issues faced by health economists.

Practical sessions

  1. Introduction to the use of statistical packages (SPSS and Stata) - PhDc. Christopher Delgado-Ratto and Dr. Miriam Mutambudzi
    The students will learn the usage of SPSS and Stata 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 with any of these packages.
  2. Research Project – prof. J.-P. Van geertruyden
    The students will be individually tutored* to conduct their own data analyses. Depending on the research topic and/or interest, the student may analyse quantitative or qualitative data, perform a meta-analysis or perform a cost-effectiveness analysis. Students will present their study results in the final week. (* individual tutoring possible in English, French, Spanish, Dutch,...)

    The course accounts for the equivalent of 6 ECTS. A Certificate of Attendance will be awarded after completion of the course.


Day-to-day programme

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)


"The EBQ helps participants to make sense of the basic statistics and epidemiology designs encountered in research. In my own view every clinician should undertake EBQ so as to improve clinical care by applying research findings."


"I recommend the EBQ because it is very practical, pertinent, relevant and we were able to study practicing.


I would recommend the course to phd students who are interested in implementation of research results because I’ve learned a lot on this. Students are exposed to what needs to be done in the real world.”


"This course presents more advantages compared to others. First, we get training on two types of research: qualitative and quantitative. Second, the research project allows participants to apply what has been taught and to receive feedback on the design, analysis, etc. on various themes. Third, the research project is individual; each participant can work under supervision of the tutor. Fourth, we work on issues which are real on the ground, we can find solutions for the problems and we can even publish."