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Overcoming challenges to data quality in the ASPREE clinical trial

Abstract 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....

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Principais autores: Jessica E. Lockery, Taya A. Collyer, Christopher M. Reid, Michael E. Ernst, David Gilbertson, Nino Hay, Brenda Kirpach, John J. McNeil, Mark R. Nelson, Suzanne G. Orchard, Kunnapoj Pruksawongsin, Raj C. Shah, Rory Wolfe, Robyn L. Woods, on behalf of the ASPREE Investigator Group
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2019-12-01
Colecção:Trials
Assuntos:
Health data
Clinical trial
Data quality
Health technology
Acesso em linha:https://doi.org/10.1186/s13063-019-3789-2
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