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Clinical Prediction Models and Machine Learning(WK80)

Amsterdam UMC / EpidM, Department of Epidemiology & Data Science
Contenuti (corsi)
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.
Obiettivi didattici, obiettivi del training
- 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..
Pubblico target
This course is accessible to a wide range of participants, including professionals and PhD students in healthcare.
Prerequisiti
It is assumed that participants will be familiar with the principles of linear and logistic regression analysis.
Annotazioni
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
 

Informazioni ed Iscrizioni:

Register via the website. The course will be an online course because of Covid-19
Ms. Ange van der Veer
 
Categorie
Epidemiologia e Controllo delle Malattie, Ricerca clinica, Sanità Pubblica (Public Health), Statistica
Tipo di titolo
Attestato di partecipazione
Metodo educativo
A tempo pieno
Durata
4 Giorni
Lingua
Inglese
Punti accrediti
2 ECTS - Points
Costi
EUR 1.000,00
(If you enrol for 2 or 3 courses, you will receive a discount of 10%!)
Numero di partecipanti (max.)
24
Contatto organizzatori
Boelenlaan 1089a
1081 HV Amsterdam
Netherlands
Aspher University
 
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