Kwon and Godman BMC Health Services Research (2017) 17:210 DOI 10.1186/s12913-017-2114-6
ERRATUM
Open Access
Erratum to: Do newly marketed generic medicines expand markets using descriptive time series analysis and mixed logit models? Korea as an exemplar and its implications Hye-Young Kwon1 and Brian Godman2,3* Erratum Following the publication of this article [1], it was brought to our attention that Fig. 2 contains an error: the legends for graphs b and c are interchanged. The corrected Fig. 2 is provided below:
a) No. of patients on generic atorvastatin
b) No. of patient in the previously treated group
c) No. of patient in the newly treated group
Note : Others include simvastatin, lovastatin, pravastatin, fluvastatin, rosuvastatin and pitavastatin
Fig. 2 Number of patients prescribed overtime
Author details 1 Division of Biomedicine & Public Health, Mokwon University, Daejeon 35349, South Korea. 2Division of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska Institute, Karolinska University Hospital Huddinge, Stockholm SE-141 86, Sweden. 3Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
Received: 23 February 2017 Accepted: 23 February 2017
Reference 1. Kwon H-Y, Godman B. Do newly marketed generic medicines expand markets using descriptive time series analysis and mixed logit models? Korea as an exemplar and its implications. BMC Health Serv Res. 2016;16:130. doi:10.1186/s12913-016-1356-z.
* Correspondence:
[email protected] 2 Division of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska Institute, Karolinska University Hospital Huddinge, Stockholm SE-141 86, Sweden 3 Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK © The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
