Print page Close print preview
Logo Going International
 

Missing Data: Consequences and Solutions (WV81)

Amsterdam UMC / EpidM, Department of Epidemiology & Data Science
Archivio
-
13.01.2020 - 15.01.2020  Amsterdam, Netherlands
Data limite per la applicazione:December 16th 2019
 
Contenuti (corsi)
Although researchers do their best to avoid missing data, it is a common problem in medical and epidemiological studies. How large your missing data problem is and how to deal with it depends on how much data is missing and why your data are missing. This two-day course provides you with tools how to evaluate and handle missing data in medical and epidemiological studies with different missing data rates.
Obiettivi didattici, obiettivi del training
The participant is able to distinguish between different missing data mechanisms called missing completely at random (MCAR), missing at random (MAR) and missing not at random (MNAR).
Pubblico target
The course is designed for everybody who wants to learn about missing data because missing data may be present in your own research you want to learn how to judge other articles or research grants.
Prerequisiti
The following concepts are assumed known by participants at the start of this course: - Knowledge of basic statistical tests as t-tests and regression analyses. - Knowledge of some basic SPSS commands.
Annotazioni
On the first day of the course you will receive a course pack containing copies of all lectures, presentations and assignments. We use an interactive Learn Management System.
 

Informazioni ed Iscrizioni:

Register via the website
Ms. Drs Yvonne van Loon
 
Categorie
Ricerca clinica, Ricerca dell Sanita Pubblica, Sanità Pubblica (Public Health), Scienze della Vita, Statistica
Tipo di titolo
Attestato di partecipazione
Metodo educativo
A tempo pieno
Durata
3 Giorni
Lingua
Inglese
Punti accrediti
2 ECTS - Points
Costi
EUR 950,00
Numero di partecipanti (max.)
24
Contatto organizzatori
Meibergdreef 9
1105 AZ Amsterdam
Netherlands
Aspher University