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Advanced biostatistics and epidemiology

Utbildningsinformation från den publicerade källan. Utbildningen och dess tidsbundna tillfällen hålls åtskilda.

Utbildningsfakta

Kod: 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.

Behörighet

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.

Utbildningstillfällen

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Källa och uppdatering

Skolverket Susa-navet

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Publiceringsversion: 8e217193-f5fa-4778-b085-a4521fd03e8d

Kontrollsumma: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Senast ändrad enligt källan: 2026-03-02T08:14:47