EN:
Knowledge and understanding
After having actively participated in this course, the student:
- Is able to distinguish and interpret various measures expressing the frequency of occurrence of health outcomes, such as a disease (i.e., cumulative incidence, incidence density, point prevalence, period prevalence, and lifetime prevalence).
- Is able to distinguish and interpret various measures that quantify the nature and strength of associations between determinants and health outcomes (i.e., risk difference, risk ratio, rate ratio, and attributable proportion).
- Is able to distinguish and recognize various study designs commonly used in the field of epidemiology (i.e., ecological studies, cross-sectional studies, case-control studies, cohort studies, and randomized controlled trials).
- Has knowledge of and insight into relevant aspects of different study designs and choice of the study population (e.g., inclusion and exclusion criteria, eligibility considerations, sources for selection, and recruitment procedures).
- Is able to identify major advantages and disadvantages of the different epidemiological study designs.
- Knows differences between internal validity and external validity of epidemiological studies.
- Appreciates potential sources of bias (incl. selection bias, information bias, and confounding) that threaten the internal validity of an epidemiological study.
- Appreciates differences between confounding and effect modification or interaction.
- Appreciates various design measures to prevent bias or to adjust for bias in observational research (e.g., restriction, matching, stratified analysis, blinded measurement, and use of independent data sources).
- Has basic knowledge of and insight into the principles of classifying health and disease outcomes.
- Is able to distinguish various types of health measurement scales and relevant aspects of the quality of a health measurement scale (i.e., validity, reliability, and responsiveness).
- Has basic knowledge of and insight into main principles and procedures of diagnostic testing (strategies) and research.
- Has basic knowledge of prognostic research and basic principles of prognostic prediction modelling.
- Is able to distinguish various types of literature review (e.g., narrative review, systematic review, meta-analysis) and to identify advantages and disadvantages of these types of literature review.
- Is able to identify the subsequent steps of a systematic literature review.
Making judgments
After having actively participated in this course, the student:
- Is able to assess and recognize important sources of bias as part of critically appraising the methodological quality of an epidemiological study (e.g., based on a research article).