Multimorbidity analysis with low condition counts: a robust Bayesian approach for small but important subgroupsResearch in context

Multimorbidity analysis with low condition counts: a robust Bayesian approach for small but important subgroupsResearch in context

Summary: Background: Robustly examining associations between long-term conditions may be important in identifying opportunities for intervention in multimorbidity but is challenging when evidence is limited. We have developed a Bayesian inference framework that is robust to sparse data and used it...

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Bibliographic Details
Main Authors: Guillermo Romero Moreno, Valerio Restocchi, Jacques D. Fleuriot, Atul Anand, Stewart W. Mercer, Bruce Guthrie
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:EBioMedicine
Subjects:
Multimorbidity
Association measures
Network analysis
Relative risk
Bayesian inference
Low counts
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396424001166

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