The intervention effect of local alcohol licensing policies on hospital admission and crime: a natural experiment using a novel Bayesian synthetic time-series method

de Vocht, F., Tilling, K., Pliakas, T. et al. (5 more authors) (2017) The intervention effect of local alcohol licensing policies on hospital admission and crime: a natural experiment using a novel Bayesian synthetic time-series method. Journal of Epidemiology and Community Health. ISSN 0143-005X

Abstract

Metadata

Authors/Creators:
  • de Vocht, F.
  • Tilling, K.
  • Pliakas, T.
  • Angus, C.
  • Egan, M.
  • Brennan, A.
  • Campbell, R.
  • Hickman, M.
Copyright, Publisher and Additional Information: © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Keywords: alcohol; methodology; public health policy; time-series
Dates:
  • Published (online): 5 July 2017
  • Accepted: 17 May 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > Sheffield Centre for Health and Related Research
Depositing User: Symplectic Sheffield
Date Deposited: 12 Jul 2017 09:05
Last Modified: 12 Jul 2017 09:05
Published Version: https://doi.org/10.1136/jech-2017-208931
Status: Published online
Publisher: BMJ Publishing Group
Refereed: Yes
Identification Number: https://doi.org/10.1136/jech-2017-208931
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