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Clinical Prediction Models and Machine Learning(WK80)

Amsterdam UMC / EpidM, Department of Epidemiology & Data Science
Course Content
The aim of the course is to provide better knowledge and understanding of the development of prediction models that are relevant to real-life practice. We will focus on the various methods for selecting variables, and the pros and cons of these different methods. Once the prediction model has been developed, it is important to assess the quality of the prediction model.
Learning objectives, training objectives
- recognize and identify the characteristics of a prediction model.
- identify the weak points and strong points of the most commonly used methods for selecting variables
- can develop prediction models, assess their quality and validate them etc..
Target Audience
This course is accessible to a wide range of participants, including professionals and PhD students in healthcare.
Qualifications
It is assumed that participants will be familiar with the principles of linear and logistic regression analysis.
Notes
We use an interactive Learn Management System for this online course. Here you can find all course materials at least one week before the start of the course
 

Enquiries and Registration:

Register via the website. The course will be an online course because of Covid-19
Ms. Ange van der Veer
 
Categories
Clinical Research, Epidemiology and Disease Control, Public Health, Statistics
Type of degree
Certificate of attendance
Education form
Full Time
Duration
4 Days
Languages
English
Credit Points
2 ECTS - Points
Fees
EUR 1.000,00
(If you enrol for 2 or 3 courses, you will receive a discount of 10%!)
Number of participants (max.)
24
Organizer contact info
Boelenlaan 1089a
1081 HV Amsterdam
Netherlands
Aspher University
 
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