Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review

OBJECTIVE: The identification of methodology for modelling cardiovascular disease (CVD) risk using longitudinal data and risk factor trajectories. METHODS: We screened MEDLINE-Ovid from inception until 3 June 2020. MeSH and text search terms covered three areas: data type, modelling type and disease...

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Detalles Bibliográficos
Autores principales: Stevens, David, Lane, Deirdre A., Harrison, Stephanie L., Lip, Gregory Y. H., Kolamunnage-Dona, Ruwanthi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684210/
https://www.ncbi.nlm.nih.gov/pubmed/34922465
http://dx.doi.org/10.1186/s12874-021-01472-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684210/
https://www.ncbi.nlm.nih.gov/pubmed/34922465
http://dx.doi.org/10.1186/s12874-021-01472-x

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