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Clinical Prediction Models and Machine Learning(WK80)

Amsterdam UMC / EpidM, Department of Epidemiology & Data Science
Contenido de curso
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.
Objetivos de formación
- 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..
Destinatario
This course is accessible to a wide range of participants, including professionals and PhD students in healthcare.
Calificaciones
It is assumed that participants will be familiar with the principles of linear and logistic regression analysis.
Observaciones
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
 

Información e inscripción:

Register via the website. The course will be an online course because of Covid-19
Ms. Ange van der Veer
 
Categorías
Epidemiología y Control de Enfermedades, Estadística, Investigación clínica, Salud Pública
Tipo de título
Certificado de asistencia
Método edicativo
Tiempo completo
Duración
4 Días
Idioma
Inglés
Puntos de crédito
2 ECTS - Points
Costos
EUR 1.000,00
(If you enrol for 2 or 3 courses, you will receive a discount of 10%!)
Número de participantes (max.)
24
Cantacto organizador
Boelenlaan 1089a
1081 HV Amsterdam
Netherlands
Aspher University
 
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Ärzte der WeltAMREF - African Medical and Research FoundationÖsterreichische Akademie der ÄrzteSwiss Tropical and Public Health InstituteÖsterreichische Gesellschaft für Public HealthEuropean Health Forum GasteinAlumni Club Medizinische Universität WienEuropean Public Health Association (EUPHA)