Open Access

Erratum to: on the plausibility of socioeconomic mortality estimates derived from linked data: a demographic approach

  • Mathias Lerch1Email author,
  • Adrian Spoerri2,
  • Domantas Jasilionis1 and
  • Francisco Viciana Fernandèz3
Population Health MetricsAdvancing innovation in health measurement201715:31

https://doi.org/10.1186/s12963-017-0148-y

Received: 26 July 2017

Accepted: 31 July 2017

Published: 17 August 2017

The original article was published in Population Health Metrics 2017 15:26

Erratum

The original article [1] was corrected. An incorrect version of Figure 3 was initially published. The correct version of Fig. 3 is also shown below.
Fig. 3

Linkage rates of deaths above age a according to sex and educational attainment, Lithuania, 2001–2011. Source: Census-linked mortality data Lithuania, 2001–2011. Note: educational attainment as based on censuses

Notes

Declarations

Open AccessThis 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.

Authors’ Affiliations

(1)
Max Planck Institute for Demographic Research, Demographic Research Centre, Vytautas Magnus University
(2)
Institute of Social and Preventive Medicine, University of Bern
(3)
Institute of Statistics and Cartography of Andalusia

Reference

  1. Lerch M, Spoerri A, Jasilionis D, Fernandèz FV. On the plausibility of socioeconomic mortality estimates derived from linked data: a demographic approach. Popul Health Metrics. 2017;15:26. doi:10.1186/s12963-017-0143-3-y.View ArticleGoogle Scholar

Copyright

© The Author(s). 2017

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