Treatment of missing data in Bayesian network structure learning: an application to linked biomedical and social survey data

Treatment of missing data in Bayesian network structure learning: an application to linked biomedical and social survey data

Abstract Background Availability of linked biomedical and social science data has risen dramatically in past decades, facilitating holistic and systems-based analyses. Among these, Bayesian networks have great potential to tackle complex interdisciplinary problems, because they can easily model inte...

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Bibliographic Details
Main Authors: Xuejia Ke, Katherine Keenan, V. Anne Smith
Format: Article
Language:English
Published: BMC 2022-12-01
Series:BMC Medical Research Methodology
Subjects:
Simulation study
Missing data
Bayesian networks
Social science
Multimorbidity
Online Access:https://doi.org/10.1186/s12874-022-01781-9

Internet

https://doi.org/10.1186/s12874-022-01781-9

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