Clinical Prediction Models (WK80)

Amsterdam UMC / EpidM, Department of Epidemiology & Data Science
13.01.2014 - 15.01.2014  1081 BT Amsterdam, Netherlands
Data limite per la applicazione:December 15th 2013
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.
It is assumed that participants will be familiar with the principles of linear and logistic regression analysis.
On the first day of the course you will receive a package containing copies of all the lecture presentations and computer exercises, assignments, and feedback on these assignments.

Informazioni ed Iscrizioni:

Register via the website
Ms. Drs Yvonne van Loon
Epidemiologia e Controllo delle Malattie, Statistica
Tipo di titolo
Dottorato di Ricerca (PHD), Attestato di partecipazione
Metodo educativo
A tempo pieno
3 Giorni
Punti accrediti
1 ECTS - Points
EUR 875,00
(If you enrol for 2 or 3 courses, you will receive a discount of 10%!)
Numero di partecipanti (max.)
Contatto organizzatori
Meibergdreef 9
1105 AZ Amsterdam
Aspher University
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Anästhesie in Entwicklungsländern e. V.European Health Forum GasteinAlumni Club Medizinische Universität WienHilfswerk AustriaÄrzte der WeltAMREF - African Medical and Research FoundationOÖ Gebietskrankenkasse, Referat für Wissenschaftskooperation AGEM - Arbeitsgemeinschaft Ethnologie und Medizin