Preventing bias from selective non-response in population-based survey studies: findings from a Monte Carlo simulation study

Preventing bias from selective non-response in population-based survey studies: findings from a Monte Carlo simulation study

Abstract Background Health researchers often use survey studies to examine associations between risk factors at one time point and health outcomes later in life. Previous studies have shown that missing not at random (MNAR) may produce biased estimates in such studies. Medical researchers typically...

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Bibliographic Details
Main Authors: Kristin Gustavson, Espen Røysamb, Ingrid Borren
Format: Article
Language:English
Published: BMC 2019-06-01
Series:BMC Medical Research Methodology
Subjects:
Selective non-response
Preventing bias
Monte Carlo simulations
Online Access:http://link.springer.com/article/10.1186/s12874-019-0757-1

Internet

http://link.springer.com/article/10.1186/s12874-019-0757-1

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