Advanced biostatistics and epidemiology
Umeå University
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Pace of study: 100 %
Published education catalogue
Education information from the published source. The education record and its time-bound offerings are kept separate.
Code: 3FH065
The focus in the course is on the application of statistical and epidemiological approaches in public health research, which covers selection of appropriate method. Regression analysis is a statistical technique used for analyzing the relationship between outcome (dependent variable) and explanatory variables (independent variables). In this course, several regression models will be described and applied. The course will start with a repetition of linear and logistic regression models. Subsequently, several other regression models will be introduced and discussed, including Poisson-, Cox -and multilevel-regression. Basic concepts in survival analysis will be described and discussed. Furthermore, various epidemiological methods are introduced to analyze causality as well as aspects of data management and sampling. Public health research articles will be used for group discussion, where students focus on the application of the statistical and epidemiological methods. The theoretical part will be illustrated using public health examples and students will practice the application of different analytical approaches in computer exercises and practical exercises.
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 6/level 2. To be admitted to the course the applicant must have passed the course 3FH072 Biostatistics and the course 3FH038 Epidemiology or have equivalent qualifications.
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
Umeå University
Start date:
End date:
Pace of study: 100 %
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Last changed according to the source: 2025-12-11T09:41:03