Modern Methods in Data Analysis
You can understand the majority of the course without much statistics background. I was afraid I would have to ‘catch up’ in the beginning, but this was not the case.
Target Audience
This course can best be followed in the first half of the PhD track. It helps you to identify the correct analyses for your research, carry out these analyses and interpret and report the results. The course is organised by the Julius Center, UMC Utrecht. There are 10 free spots for GSLS PhDs.
Course description
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 re-sampling methods and longitudinal data analysis. The course is aimed at professionals who are interested in learning more about statistics for medical research. However, a medical education is not a requirement to successfully participate in this course. This course can best be followed in the first half of the PhD track. It helps participants to identify the correct analyses for their research, carry out these analyses and interpret and report the results.
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 material
You need to have access to and working knowledge of the freeware statistical program R.
Group size
8 to 30 participants
Number of credits
4.5 EC
Course certificate
Participants will receive a certificate after finishing the course, but only when all the necessary requirements are met:
- Participants should adhere to all the course deadlines and finish the learning units in time
- Participants should pass the exam with a sufficient grade i.e. not below 5.5
Course fee
We offer 10 places for free for PhD candidates registered with the Graduate School of Life Sciences via MyPhD. Be quick, these 10 places tend to be taken soon.
Cancellation and No-show policy
This course is free for GSLS PhD candidates. However: free of charge does not mean free of responsibility. Once you have signed up for a course, we expect you to attend. For every late cancellation or no-show we have had to disappoint others who would have liked to attend. This is our policy:
- You may cancel free of charge up to 4 weeks before the start of the course. After this date you can only cancel if you have a GSLS PhD candidate to replace you in the course. Send the name and contact information of your replacement to pcc@uu.nl, at least 2 working days before the start of the course;
We expect that you actively attend the full course. You have to complete the total E-learning.
- Not meeting the above requirements means you will be charged a no-show fee. We will send the invoice after the course has ended. We are unable to make any exceptions, unless you have a valid reason (i.e., illness or death in the family 1st/2nd degree or partner). Your supervisor has to send an e-mail to pcc@uu.nl indicating the reason.
Entrance fee: This course is free for GSLS PhD candidates
Location: Online
More information and registration
To register for this course, please send an e-mail to msc-epidemiology@umcutrecht.nl, including the 4 points below. Your registration can only be processed when you include all this information.
- You are a PhD candidate of the GSLS
- You are registered at the GSLS in MyPhD (this is required. Without it you can't participate)
- The PhD programme of the GSLS that you are part of and your affiliation
- The course that you would like to attend
Interest list
Is this course fully booked? Or would you like to follow a course at a later moment? When you subscribe to the interest list of a course, you will receive an e-mail when a new edition opens for registration. The interest list is for GSLS PhD candidates only.