Comparative analysis of methods for identifying multimorbidity patterns: a study of ‘real-world’ data

OBJECTIVE: The aim was to compare multimorbidity patterns identified with the two most commonly used methods: hierarchical cluster analysis (HCA) and exploratory factor analysis (EFA) in a large primary care database. Specific objectives were: (1) to determine whether choice of method affects the co...

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Detalles Bibliográficos
Autores principales: Roso-Llorach, Albert, Violán, Concepción, Foguet-Boreu, Quintí, Rodriguez-Blanco, Teresa, Pons-Vigués, Mariona, Pujol-Ribera, Enriqueta, Valderas, Jose Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5875653/
https://www.ncbi.nlm.nih.gov/pubmed/29572393
http://dx.doi.org/10.1136/bmjopen-2017-018986

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5875653/
https://www.ncbi.nlm.nih.gov/pubmed/29572393
http://dx.doi.org/10.1136/bmjopen-2017-018986

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