TY  - JOUR
PY  - 2019//
TI  - Analysis of healthcare service utilization after transport-related injuries by a mixture of hidden Markov models - Correction
JO  - PLoS one
A1  - Esmaili, Nazanin
A1  - Piccardi, Massimo
A1  - Kruger, Bernie
A1  - Girosi, Federico
SP  - e0214973
EP  - e0214973
VL  - 14
IS  - 4
N2  - [This corrects the article DOI: 10.1371/journal.pone.0206274.].    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. 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<p />  <p>Language: en</p>
LA  - en
SN  - 1932-6203
UR  - http://dx.doi.org/10.1371/journal.pone.0214973
ID  - ref1
ER  -