The focus in the course is on the understanding of statistical reasoning in the analysis of epidemiological data and research. The measurement process is discussed in the context of statistical model choice and data management. Regression analysis is a statistical technique used for analyzing the relationship between outcome (dependent variable) and explanatory variables (independent variables). Different types of regression analyses are described and discussed. Initially, linear regression where the outcome variable is normally distributed is discussed. Then some other regression models are introduced and discussed; Logistic regression where the outcome is binary, Poisson regression where the outcome is “counts” and Cox regression where the outcome is “time to event”. Basic concepts in survival analysis are described and discussed e.g. censoring, survival- and hazard function. Basic multilevel modeling will also be introduced. Further, different advanced epidemiological methods to analyze causation such as mediation analysis, propensity score matching, and instrumental variable analysis will also be introduced and discussed. Methods to deal with complicated situations in research are discussed, e.g. bias, confounding and effect modification. Epidemiological research articles will be discussed with focus on the statistical and epidemiological methods. During the course, theoretical parts will be illustrated with discussion exercises and computer exercises with epidemiological data.
Teaching: Web lectures, Lectures, Lessons, Seminars, Computer 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. To be admitted to the course tha applicant must have passed the course 3FH072 Biostatistics and the course 3FH038 Epidemiology or have equivalent qualifications.
English proficiency equivalent to English A/5 from Swedish Upper secondary education. IELTS (Academic) with minimum score 5.5 and no individual score below 5.0. TOEFL (Paper based) with minimum score 530 and minimum TWE 4. TOEFL (Internet based) with minimum score 72 and minimum Written 17. Basic entrance requirements for higher studies in Swedish language proficiency is also required if the course is taught in Swedish.
Applicants in some programs at Umeå University have guaranteed admission to this course. The number of places for a single course may therefore be limited.
Online applications are now open. You will be transferred to Universityadmissions.se.
Application deadline is
15 January 2018.