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

Christensen, JH; Pontoppidan, NH; Bossing, R; Anisetti, M; Bamiou, D-E; Spanoudakis, G; Murdin, L; ... Ecomomou, A; + view all (2019) Fully Synthetic Longitudinal Real-World Data From Hearing Aid Wearers for Public Health Policy Modeling. Frontiers in Neuroscience , 13 , Article 850. 10.3389/fnins.2019.00850. Green open access

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Type: Article
Title: Fully Synthetic Longitudinal Real-World Data From Hearing Aid Wearers for Public Health Policy Modeling
Open access status: An open access version is available from UCL Discovery
DOI: 10.3389/fnins.2019.00850
Publisher version: https://doi.org/10.3389/fnins.2019.00850
Language: English
Additional information: Copyright © 2019 Christensen, Pontoppidan, Rossing, Anisetti, Bamiou, Spanoudakis, Murdin, Bibas, Kikidiks, Dimakopoulos, Giotis and Ecomomou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Keywords: real-world data, longitudinal data, hearing aids, public health policy, evidence-based, hearing loss, sound exposure
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > The Ear Institute
URI: https://discovery.ucl.ac.uk/id/eprint/10081396
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