Observational Studies

The course gives an introduction to various observational study designs, as well as methods for evaluating the association between exposure and outcome. Statistical analysis suitable for observational studies will be introduced, with focus on multiple linear and logistic regression. Principles for presentation and interpretation of results, as well as assessment of validity and causality in observational studies will be lectured. Through exercises and teamwork, the students will get an introduction to the practical application of epidemiological methods and analysis.

Knowledge

Students have knowledge about

• Various study designs and differences between experimental and observational studies
• Sources of systematic errors
• Multivariable regression analysis
• Validity of observational studies

Skills

Students can

• Calculate different measures of disease frequencies
• Calculate different measures of association between exposure and disease
• Interpret results from observational studies
• Critically read and evaluate scientific articles of observational studies

General competence

• Students should be able to apply basic epidemiological terminology
• Students should have knowledge of the practical application of epidemiological methods

Up to 42 hours of lectures/exercises. The course will be fully taught in English if there are exchange students admitted the course. Parts of the course are taught in English even if there are no exchange students attending.