Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Open Access

Correction

Correction: Analysis of healthcare service utilization after transport-related injuries by a mixture of hidden Markov models

  • Nazanin Esmaili,
  • Massimo Piccardi,
  • Bernie Kruger,
  • Federico Girosi

After publication of this article [1], concerns were raised that the references to the software packages used for this analysis had been omitted. The authors utilized Stata Statistical Software: Release 15. The reference is StataCorp. 2017. Stata Statistical Software: Release 15. College Station, TX: StataCorp LLC. The authors also utilized the seqHMM package package in R. The reference is: Helske S, Helske J. Mixture hidden markov models for sequence data: the seqhmm package in R. arXiv preprint arXiv:1704.00543. 2017 Apr 3.

Reference

  1. 1. Esmaili N, Piccardi M, Kruger B, Girosi F (2018) Analysis of healthcare service utilization after transport-related injuries by a mixture of hidden Markov models. PLoS ONE 13(11): e0206274. https://doi.org/10.1371/journal.pone.0206274 pmid:30408046

Citation: Esmaili N, Piccardi M, Kruger B, Girosi F (2019) Correction: Analysis of healthcare service utilization after transport-related injuries by a mixture of hidden Markov models. PLoS ONE 14(4): e0214973. https://doi.org/10.1371/journal.pone.0214973

Published: April 1, 2019

Copyright: © 2019 Esmaili et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.