Modern Methods in Data Analysis

During this online medical course, 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.

Drs. C.L.J.J. (Cas) Kruitwagen
Lecturer, Utrecht University
Quick overview
  • 9 weeks - 14 hrs / wk
  • Academic Certificate
  • 4.5 EC
  • Online
  • English
€1679,-
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Enrollment closes 17/03/2025 86 days left to apply
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Course description

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 statistical package 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)

Course topics

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

Assessment

By default, due to the online nature of the programme, the examinations are digitally administered by using online proctoring. It is however, possible to sit the exams at the UMC Utrecht. If you wish to take your examinations at the UMC Utrecht, you need to indicate this with the e-moderator of the course.

Exam edition September 2024
The exam will take place on November 1st, 2024 from 14:15 – 17:15 CET. The re-examination will take place on December 20th, 2024 from 14:15 – 17:15 CET. Note: these times might be subject to change. The exact time and place will be announced as soon as possible in the learning environment and any changes announced there will overrule the information here.

Exam edition March 2025
The exam will take place on May 23th, 2025 from 14:15 – 17:15 CET. The re-examination will take place on July 11th, 2025 from 14:15 – 17:15 CET. Note: these times might be subject to change. The exact time and place will be announced as soon as possible in the learning environment and any changes announced there will overrule the information here.

The exam is not compulsory. However, if you want to receive the Course Certificate and the credits, it is obligatory to take the exam. You are allowed to redo the exam once.

It might be that, due to a force majeure situation, you cannot be present during the first exam moment.

• MSc Epidemiology Postgraduate students must then, preferably prior to the first exam option, ask the academic counsellor for permission to be absent. Please note that the academic counsellor can ask for some form of proof of your absence (e.g. in case of illness) to establish if you are applicable for authorized absence. Jaco de Fockert-Koefoed, MSc is the academic counsellor you need to turn to through adviseurs@umcutrecht.nl.

• All other participants should contact the MSc Epidemiology Office instead, through MSc-Epidemiology@umcutrecht.nl.

In short, as of now, it is no longer possible to skip the first exam option and -automatically- enroll in the second (re-sit) exam. Unauthorized absence during the first exam period results in no longer being able to finish the course that college year.

Requirements & material

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

FAQ Modern Methods in Data Analysis

We offer discounts for participants from Low- and Lower-middle-income Countries. Utrecht University and UMC Utrecht employees and students are eligible for a 10% discount. Unfortunately, we don’t offer any scholarships.

No, there aren’t any set times you should be online as it is an asynchronous course. All the web lectures are already pre-recorded. However there will be deadlines each week (during the week as well on weekends). Each week consists of approximately 14 study hours. To experience maximum interaction, we advise you to log in several times per week. Furthermore, you should be aware that the teacher and the e-moderator are off on weekends.

No, this is not possible because the course contains group assignments, so you can’t work ahead. Each week, a new learning unit will be made available. This means that not all the learning units are open simultaneously. Additionally, you can’t catch up on the course because there are deadlines to meet every week.

After enrollment, you will receive a confirmation email. A week before the course officially starts, you will receive an email with more detailed information and planning.

If you have ordered a course and paid immediately, you will receive an email with your login details. Sometimes, this email ends up in your spam folder. If you already have an existing account, simply log in to our learning environment. The course you just ordered will be visible in your account.

If you paid by invoice, you will receive your login credentials as soon as the invoice is paid. If the course is starting soon and you haven’t received your login details, please reach out to us at info@elevatehealth.eu to inquire about the payment status.

When you have completed all the assignments or have finished the exam with a good grade, you will receive an official certificate from Utrecht University. All academic certificates issued by Utrecht University will be sent by mail to the address registered in your account. Since these certificates are official documents, they cannot be sent by email.

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