Modern Methods in Data Analysis

During this 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.

By the end of the course, you should be able to:

Explain the principles of the likelihood theory and maximum likelihood methods
Explain the principles of the following statistical analysis techniques: Logistic regression analysis, Poisson regression analysis, Analysis of event history data, including the Cox proportional hazards regression model
Explain model validation and regression diagnostics
Describe the basic principles of longitudinal data analysis
Apply the above-mentioned techniques using common statistical packages (e.g. SPSS or R)
Name the situations in which these techniques can be applied and the conditions that should be met to obtain reliable results using these techniques
Explain and interpret the results obtained with these techniques, and apply these results in practice (e.g. to answer a research question)

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Our Professors

Cas Kruitwagen MSc

Cas Kruitwagen is lecturer of the core courses Introduction to Statistics, Classical Methods in Data Anlaysis and Modern Methods in Data Analysis, and for specialization course Evidence-Based Assessment of New Imaging Techniques.

More information about Cas Kruitwagen can be found here

Jan van den Broek PhD

Jan van den Broek PhD is lecturer of the course Modern Methods in Data Analysis.

More information Dr. J. (Jan) van den Broek can be found here

Single courses

One of the unique aspects of our learning approach is that you can choose to take an individual course rather than the whole MSc program. Experience one course from the MSc, having the same faculty and classmates with the convenience of self-enrollment.

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Online

In the full part-time MSc Program, you gain extensive knowledge and practical skills in patient-oriented research design, quantitative analysis and its application to human or veterinary medicine. The MSc Epidemiology Online starts in February and September.

Online Program

Face-to-Face

If your prefer to study in a face-to-face setting, you might want to consider applying for the identical fulltime face-to-face 1,5 year program in Utrecht, the Netherlands.

This program also starts in September, with the same course offerings.

Face-to-Face Program