Maelstrom Research guidelines for rigorous retrospective data harmonization

Background: It is widely accepted and acknowledged that data harmonization is crucial: in its absence, the co-analysis of major tranches of high quality extant data is liable to inefficiency or error. However, despite its widespread practice, no formalized/systematic guidelines exist to ensure high...

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Detalles Bibliográficos
Autores principales: Fortier, Isabel, Raina, Parminder, Van den Heuvel, Edwin R, Griffith, Lauren E, Craig, Camille, Saliba, Matilda, Doiron, Dany, Stolk, Ronald P, Knoppers, Bartha M, Ferretti, Vincent, Granda, Peter, Burton, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5407152/
https://www.ncbi.nlm.nih.gov/pubmed/27272186
http://dx.doi.org/10.1093/ije/dyw075

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5407152/
https://www.ncbi.nlm.nih.gov/pubmed/27272186
http://dx.doi.org/10.1093/ije/dyw075

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