63 days
Duration
1385 EUR/full
1385 EUR/full
Unknown
Tuition fee
Unknown
Apply date
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Start date

About

During this online Modern Methods in Data Analysis course from Utrecht University, offered by the MSc Epidemiology program of the UMC Utrecht and Utrecht University, you will learn to use statistical methods to study the association between (multiple) determinants and the occurrence of an outcome event.

Visit the official programme website for more information

Overview

The Modern Methods in Data Analysis course from Utrecht University 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 re-sampling 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 successfully participate in this course.

Learning objectives

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)

Programme Structure

Courses include:

  • Linear models
  • Likelihood and logistic regression
  • Poisson models and generalized linear models
  • Survival analysis
  • Resampling methods
  • Longitudinal data analysis

Key information

Duration

  • Part-time
    • 63 days
    • Flexible

Start dates & application deadlines

More details

Enrollment deadline 15 Mar, 30 Aug

Language

English

Credits

4 ECTS

4.5 ECTS

Delivered

Online

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

To enroll in this course, you need:

  • A BSc degree
  • Access to the program R
  • Sufficient understanding of statistics and data analysis. Elevate courses offering this knowledge include Introduction to Statistics and Classical Methods in Data Analysis
  • Sufficient proficiency in English reading and writing

Tuition Fee

To alway see correct tuition fees
  • International

    1385 EUR/full
    Tuition Fee
    Based on the tuition of 1385 EUR for the full programme during 63 days.
  • EU/EEA

    1385 EUR/full
    Tuition Fee
    Based on the tuition of 1385 EUR for the full programme during 63 days.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

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Modern Methods in Data Analysis
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