Overcoming challenges to data quality in the ASPREE clinical trial

BACKGROUND: Large-scale studies risk generating inaccurate and missing data due to the complexity of data collection. Technology has the potential to improve data quality by providing operational support to data collectors. However, this potential is under-explored in community-based trials. The Asp...

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Detalles Bibliográficos
Autores principales: Lockery, Jessica E., Collyer, Taya A., Reid, Christopher M., Ernst, Michael E., Gilbertson, David, Hay, Nino, Kirpach, Brenda, McNeil, John J., Nelson, Mark R., Orchard, Suzanne G., Pruksawongsin, Kunnapoj, Shah, Raj C., Wolfe, Rory, Woods, Robyn L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6902598/
https://www.ncbi.nlm.nih.gov/pubmed/31815652
http://dx.doi.org/10.1186/s13063-019-3789-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6902598/
https://www.ncbi.nlm.nih.gov/pubmed/31815652
http://dx.doi.org/10.1186/s13063-019-3789-2

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