Clinical Prediction Models and Machine Learning (WK80)

Kursinhalte
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.

Lernziele, Trainingsziele
- 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..

Zielpublikum
This course is accessible to a wide range of participants, including professionals and PhD students in healthcare.

Qualifikationen
It is assumed that participants will be familiar with the principles of linear and logistic regression analysis.

Anmerkungen
We use an interactive Learn Management System for this course. Here you can find all course materials at least one week before the start of the course

Register via the website.

Frau Drs Yvonne van Loon