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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Gardado en:
Detalles Bibliográficos
Publicado en:Trials
Main Authors: 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: Artigo
Idioma:Inglês
Publicado: BioMed Central 2019
Assuntos:
Methodology
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6902598/
https://ncbi.nlm.nih.gov/pubmed/31815652
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13063-019-3789-2
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