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Causal Inference and Propensity Score Methods

Amsterdam UMC / EpidM, Department of Epidemiology & Data Science
Contenuti (corsi)
In this course students gain an overview on the statistical techniques and research designs used by epidemiologists to estimate treatment effects from patient data. We begin by reviewing the randomized controlled trial design in which patients are assigned completely at random to two or more treatment and control groups. Subsequently, we will consider estimation of treatment effects in settings when treatment assignment cannot be controlled by the experimenter. Further information see website
Obiettivi didattici, obiettivi del training
At the end of the course “causal inference” the participant will be able to determine whether an observational study design is adequate for answering a research question. See for more the website
Pubblico target
Target group: epidemiologists concerned with estimation of treatments effects between study groups using observational data.
Prerequisiti
Participants are expected 1. to have basic knowledge of epidemiological methods and have followed the Regression Techniques 2. to have basic knowledge of R; (see website for a course)
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
Cooperazione allo sviluppo - Corsi di perfezionamento, Epidemiologia e Controllo delle Malattie, Ricerca clinica, Ricerca dell Sanita Pubblica, 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 two or three Winter Courses simultaneously, you will receive a discount of 10% on all courses.)
Numero di partecipanti (max.)
24
Contatto organizzatori
Boelenlaan 1089a
1081 HV Amsterdam
Netherlands
Aspher University
 
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