GSMS Course Registration

All GSMS courses

Only GSMS PhD students (including BCN PhD students) can participate in these courses. Use your P-number to register (ask your Personnel Office).

For registration please go to Upcoming courses.

Course: Epidemiology and Applied Statistics

Students will learn about the concepts, principles, and methods in epidemiology. The participants will familiarize themselves with study designs, methodological problems and statistical analyses. The skills learned in this course are of importance when conducting research and analyzing data as well as when evaluating published research.

In the first week the student will become acquainted with the field of epidemiology and gain knowledge on research designs, measures of frequency and association. During this week a research question is formulated, for which data have to be analyzed during the course. Further, a start is made with the applied statistics (descriptive statistics, non-parametric and parametric tests, correlations, linear and logistic regression analysis). All statistical analyses will be performed during practicals using SPSS/PASW.

In the second week the student will familiarize themselves with the concepts of confounding and effect modification. The final statistical analyses are performed (including interaction and stratification). Students will give an oral presentation of 10 minutes on their research question (analyses, results, conclusion, discussion), followed by a general discussion.

Topics include :
• Study population
• Study designs (cross-sectional/ longitudinal, descriptive/ experimental, case-control/ cohort/ intervention
• How to formulate a research question and to make it operational
• Measures of frequency: prevalence/ incidence, risk difference, population attributable risk
• Measures of effect: relative risk (RR), odds ratio (OR)
• Methodological problems: confounding and effect modification
• Descriptive statistics (plots, distribution, group differences)
• Associations (correlation, linear and logistic regressions)
• How to deal with confounding in the analysis (stratification, interaction and effect modification)
• Deriving inferences (statistical significance, clinical relevance)

The course is every day from 09:00 - 13:00 hrs

EC (without exam)


Course coordinator

  • Dr. J.M. (Judith) Vonk



Target Groups

  • PhD students

Contact person

Maaike Bansema,

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