Biostatistics, part 2, 5.0 Credits
About the course
The focus of the course is on the understanding of statistical reasoning in analysis of data and research. The measurement process is discussed in the context of statistical model choice and basic data management is introduced. Regression analysis is a statistical technique used for analyzing the
relationship between response and explanatory variables and during the main part of the course different types of regression analyses are described and discussed. Types of analyses taught are linear regression where the response is normal distributed, logistic regression where the response is binary, Poisson regression where the response is “counts” and Cox regression where the response is time to event. Basic concepts in survival analysis (e.g. censoring, survival- and hazard function) are introduced. Epidemiological research articles will be discussed with focus on the statistical
methodology. During the whole course theoretical parts will be illustrated with practical exercises for
the students in a statistical software program. Expected learning outcomes: After completing the course, the student should be able to: have knowledge about the measurement process in the context of statistical model choice and have knowledge about basic data management; understand basic theory about different regression models (linear-, logistic-, poisson- and cox regression) and have knowledge about basic concepts in survival analysis; be able to use a statistical software for basic statistical analysis; be able to perform appropriate statistical analyses concerning different regression models (linear-, logistic-, Poisson- and Cox regression) and be able to interpret the result of such analyses; understand and critically evaluate the content of statistical methodology in scientific epidemiological articles.
Teaching on the course is concretated to two weeks during the course period. Teaching is conducted through lectures, group exercises, seminars and computer sessions applying a statistical soft ware. Teaching is given in English.
Level of Education: Advanced
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Epidemiology and Global Health
