Open Access

Erratum To: Robust metrics for assessing the performance of different verbal autopsy cause assignment methods in validation studies

  • Christopher JL Murray1Email author,
  • Rafael Lozano1,
  • Abraham D Flaxman1,
  • Alireza Vahdatpour1 and
  • Alan D Lopez1
Population Health Metrics201412:7

https://doi.org/10.1186/1478-7954-12-7

Received: 10 March 2014

Accepted: 17 March 2014

Published: 10 April 2014

The original article was published in Population Health Metrics 2011 9:28

Correction

After publication of this manuscript [1], it came to the attention of the authors that the manuscript contained an error in the equation and text on page 5. The corrected version is below.

Based on simplicity and the robustness to the CSMF composition of the test dataset, we propose to measure chance-corrected concordance for cause j (CCCj) as:
CC C j = T P j T P j + F N j - 1 N 1 - 1 N

Where TP is true positives, FN is false negatives, and N is the number of causes, TP plus FN equals the true number of deaths from cause j.

The Publisher and authors apologize to the readers for any inconvenience caused.

Notes

Authors’ Affiliations

(1)
Institute for Health Metrics and Evaluation, University of Washington

References

  1. Murray CJL, Lozano R, Flaxman AD, Vahdatpour A, Lopez AD: Robust metrics for assessing the performance of different verbal autopsy cause assignment methods in validation studies. Population Health Metrics 2011, 9: 28. 10.1186/1478-7954-9-28View ArticlePubMedPubMed CentralGoogle Scholar

Copyright

© Murray et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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.

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