Evaluation of approaches for multiple imputation of three-level data

Evaluation of approaches for multiple imputation of three-level data

Abstract Background Three-level data arising from repeated measures on individuals who are clustered within larger units are common in health research studies. Missing data are prominent in such longitudinal studies and multiple imputation (MI) is a popular approach for handling missing data. Extens...

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Bibliographic Details
Main Authors: Rushani Wijesuriya, Margarita Moreno-Betancur, John B. Carlin, Katherine J. Lee
Format: Article
Language:English
Published: BMC 2020-08-01
Series:BMC Medical Research Methodology
Subjects:
FCS
Joint modelling
Multiple imputation
Multilevel multiple imputation
Three-level data
Incomplete multilevel data
Online Access:http://link.springer.com/article/10.1186/s12874-020-01079-8

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http://link.springer.com/article/10.1186/s12874-020-01079-8

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