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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Autors principals:	Guillermo Romero Moreno, Valerio Restocchi, Jacques D. Fleuriot, Atul Anand, Stewart W. Mercer, Bruce Guthrie
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2024-04-01
Col·lecció:	EBioMedicine
Matèries:	Multimorbidity Association measures Network analysis Relative risk Bayesian inference Low counts
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2352396424001166
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