City Research Online - Fully Synthetic Longitudinal Real-World Data From Hearing Aid Wearers for Public Health Policy Modeling

Fully Synthetic Longitudinal Real-World Data From Hearing Aid Wearers for Public Health Policy Modeling

Christensen, J. H., Pontoppidan, N. H., Bossing, R. , Anisetti, M., Bamiou, D-E., Spanoudakis, G. ORCID: 0000-0002-0037-2600, Murdin, L., Bibas, T., Kikidiks, D., Dimakopoulos, N., Giotis, G. & Ecomomou, A. (2019). Fully Synthetic Longitudinal Real-World Data From Hearing Aid Wearers for Public Health Policy Modeling. Frontiers in Neuroscience, 13, article number 850. doi: 10.3389/fnins.2019.00850

Publication Type:	Article
Publisher Keywords:	real-world data, longitudinal data, hearing aids, public health policy, evidence-based, hearing loss, sound exposure
Departments:	School of Science & Technology > Computer Science
SWORD Depositor:	Symplectic Administrator

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Creators:	Christensen, J. H. Pontoppidan, N. H. Bossing, R. Anisetti, M. Bamiou, D-E. Spanoudakis, G. ORCID: 0000-0002-0037-2600 Murdin, L. Bibas, T. Kikidiks, D. Dimakopoulos, N. Giotis, G. Ecomomou, A.
Status:	Published
Refereed:	Yes
Journal or Publication Title:	Frontiers in Neuroscience
Publisher:	Frontiers Media SA
ISSN:	1662-4548
e-ISSN:	1662-453X
URI:	https://openaccess.city.ac.uk/id/eprint/22981
Date available in CRO:	03 Oct 2019 16:30
Date deposited:	3 October 2019
Dates:	Date Event 30 July 2019 Accepted 13 August 2019 Published Online 2019 Published