Multiple imputation with missing indicators as proxies for unmeasured variables: simulation study

Multiple imputation with missing indicators as proxies for unmeasured variables: simulation study

Abstract Background Within routinely collected health data, missing data for an individual might provide useful information in itself. This occurs, for example, in the case of electronic health records, where the presence or absence of data is informative. While the naive use of missing indicators t...

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Bibliographic Details
Main Authors: Matthew Sperrin, Glen P. Martin
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Medical Research Methodology
Subjects:
Missing data
Missing indicator
Multiple imputation
Simulation study
Online Access:http://link.springer.com/article/10.1186/s12874-020-01068-x

Internet

http://link.springer.com/article/10.1186/s12874-020-01068-x

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