Confounders (i.e. a variable that influence both the outcome and the other explanatory variables in the model) are common in observational studies. Confounders make it difficult to compare two groups (e.g. treatment vs placebo). One method to deal with this issue is by using propensity score analysis. This 3 ECTS course teaches how a propensity score analysis is conducted and the prerequisites for the analysis. Alternatives to propensity scores will also be discussed.
Additional information about the course.
Course dates: 21 September – 16 October 2015 (University of Gothenburg)
Application deadline: 21 April 2015
The applicants are presumed to have completed the introductory course, Medical Statistics 1, or more extensive statistical training at undergraduate level and be admitted to doctoral education.