Advanced methods in epidemiology, 5.0 Credits

About the course

The purpose of this course is to provide students with deeper knowledge of advanced methods in epidemiology, focusing on study designs, potential pitfalls in causal research (i.e. errors, confounding, and effect modification), and different modelling strategies of epidemiological data analyses. Students
will also gain skills in the analysis and interpretation of epidemiological datasets. Students will learn to
conduct advanced epidemiological analysis, including logistic regression, Poisson regression, Cox regression and multilevel analysis using statistical software. Students will also be guided in interpreting and reporting results from epidemiological studies in scientific publications. 
After completing the course, the student should be able to: discuss the different methodological consideration and approaches to different study designs
in understanding causalities; discuss different situations when various regression analyses, such as logistic regression,
Poisson regression, Cox regression and multilevel analysis can be used in epidemiology analysis, and interpret results from regression analyses;
analyze and report sources of errors occurring in an epidemiological study; independently make an advanced analysis for an epidemiological research report.

Teaching on the course is concentrated to two weeks during the course period. Teaching is conducted through lectures, group exercises, seminars and computer sessions applying statistical software. Group exercises and computer sessions are compulsory. Teaching is given in English.

Level of Education: Advanced

---

2011-03-15