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.
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Type: | Article |
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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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