Modern Methods in Data Analysis

During this online course, you will learn to use statistical methods to study the association between (multiple) determinants and the occurrence of an outcome event. The course will begin with an introduction to likelihood theory, using simple examples and a minimum of mathematics. You will then move to learning about the most important regression models used in medical research. These include logistic regression, Poisson regression, analysis of `event history´ data, and the Cox proportional hazards regression model. In addition, you will become familiar with model validation and regression diagnostics, as well as with the basic principles of resampling methods and longitudinal data analysis. The course is aimed at professionals who are interested in to learn more about statistics for medical research. However, a medical education is not a requirement to succesfully participate in this course.

Modern Methods in Data Analysis is one of the online medical courses of the MSc Epidemiology Postgraduate Online; the online MSc program in Epidemiology offered by Utrecht University, University Medical Center Utrecht, MSc Epidemiology and Elevate Health.

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Course is offered by

as part of the following program:

Academic Staff

Support Staff

Nienke Verdonk MSc MA

Elevate Coordinator

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