The emphasis of the course is on the understanding of statistical reasoning in the analysis of epidemiological data and research.
Concepts and tools for causation will be discussed. Different types of regression analyses will be described and applied with a focus on application of linear and logistic regression. Other methods such as Poisson regression, Cox regression and survival analysis, multilevel modelling and mediation analysis will also be introduced. The course will also bring up examples of utilization of epidemiological data analysis in research and practice.
Epidemiological research articles will be discussed with focus on the statistical and epidemiological methods, and theoretical parts will be illustrated with discussion exercises and computer exercises with epidemiological data.
For non-programme students applying as single-course students, the requirements are 120 ECTS, of which a minimum of 30 ECTS are within one of the following: health sciences, environmental health or social sciences and Proficiency in English equivalent to Swedish upper secondary course English B/6. To be admitted to the course the applicant must have passed the course 3FH072 Biostatistics and the course 3FH038 Epidemiology or have equivalent qualifications.
Entry requirementsFor non-programme students applying as single-course students, the requirements are 120 ECTS, of which a minimum of 30 ECTS are within one of the following: health sciences, environmental health or social sciences and Proficiency in English equivalent to Swedish upper secondary course English B/6. To be admitted to the course the applicant must have passed the course 3FH072 Biostatistics and the course 3FH038 Epidemiology or have equivalent qualifications.
Entry requirements