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MSc Epidemiology

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Universiteit UtrechtRequest info

Mixed Models

In the biosciences, response variables are often observed more than once per individual. This enables the researcher to study the development of the variable of interest within individuals, thereby eliminating the variation among individuals, and thus increasing the power of the design. However, since observations on the same individual are almost always correlated, special methods are needed to deal with this dependence.

Another way in which data can be dependent is when there is a hierarchical (multilevel) structure in your data, e.g. patients within hospitals, horses within farms, pupils within classrooms, etc.

Mixed models are one way of analyzing this kind of data. This statistical technique allows for the dependency of measurements in hierarchically structured data, and separately examines the effects of variables at different levels. An important part of the course will be about the use (and theory) of linear mixed effects models (LME’s).

Starting with analysis of summary statistics on each individual’s observations, this course will lead you to more advanced methods for analyzing multilevel and longitudinal data. Similarities between longitudinal data analysis and multilevel analysis will be clarified. The course will focus primarily on continuous outcome variables, but attention will also be paid to dichotomous and count data.

The theory will be presented during lectures; computer lab sessions using SPSS and R will give you the opportunity to practice your skills on real data sets.

By the end of this course you will be able to:

  • understand the difference between fixed and random effects
  • know when to apply a mixed model in practice
  • perform mixed model analyses using statistical software (R, SPSS)
  • interpret the output of mixed model analyses in terms of the context of the research question(s)
  • know the most commonly used methods for checking model appropriateness and model fit
  • report the results of mixed model analyses to non-statistical investigators
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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

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Quick overview

Start date: 26 Sep 2022

1.5 ECTS

Web lectures, exercises, group discussions

Duration: 6 weeks

Academic Certificate

English

Workload: 7 hrs-per-week

Online learning, with guidance and support

980

How would you like to study Epidemiology?

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
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Questions? Contact us

By email
For questions about online learning info@elevatehealth.eu
For program information, admission & content msc-epidemiology@umcutrecht.nl

By phone
For questions about online learning +31 (0)85 4885381
For program information, admission & content +31 (0)88 7569710

Master Structure

  • 8 core courses
  • 3 specialization tracks
  • Research project

Specializations

  • Clinical Epidemiology
  • Veterinary Epidemiology
  • General Epidemiology

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Offered by

The study of Epidemiology

Epidemiology has grown to be an indispensable asset for researchers, clinicians and practitioners. Far reaching in its impact. It is the foundation of evidence-based medicine for the individual patient and the cornerstone of public health policy for societies.

Epidemiology as a scientific discipline is an excellent option; for the doctor, who wishes to be armed with both biomedical knowledge and statistical wisdom when looking for the right patient care of their individual patient. Also for the public health professional, who faced with global health questions does not wish to lose sight of the impact for the individual. And for the veterinarian who is faced with challenges that play a national role yet must look at the impact on individual cases.
 
 

A Master of Epidemiology at Utrecht University

Epidemiology at Utrecht University is uniquely placed to offer you the broad context of epidemiology across human pharmaceutical and veterinarian branches. Not least through having the only faculty of veterinary medicine in the Netherlands, its content has been assembled across an impressive faculty from the Health sciences; Utrecht Institute for Pharmaceutical Sciences (UIPS) and the interfaculty Institute for Risk Assessment Sciences (IRAS). In addition, Utrecht Science Park accommodates Utrecht Life Sciences, a strategic alliance between academia, public institutions private organizations and government in order to drive innovations in human and veterinary health care.

 
 

Online Education

It goes beyond the obvious advantages of online education, in the flexibility of allowing students to study at their institute of choice wherever their research or practice is. Online education at Utrecht University is where every student counts, each opinion being valued. It specifically helps students to develop skills on how to give and get the best out of feedback on assignments or research projects.

The MSc Epidemiology from Utrecht University has a unique history. The learning platform was custom built for this program. It was built with a global classroom in mind. Taking into account how to incorporate individual experiences and allow each unique perspective to make the learning experience the best possible and truly global. The content was meticulously converted to an online variant to take advantage of this.

Worldwide education