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: Using time series analysis approaches for improved prediction of pain outcomes in subgroups of patients with painful diabetic peripheral neuropathy

  • Joe Alexander Jr.,
  • Roger A. Edwards,
  • Marina Brodsky,
  • Luigi Manca,
  • Roberto Grugni,
  • Alberto Savoldelli,
  • Gianluca Bonfanti,
  • Birol Emir,
  • Ed Whalen,
  • Steve Watt,
  • Bruce Parsons

Fig 1 is incorrect. The authors have provided a corrected version here.

thumbnail
Download:
Fig 1. Simulation steps.

OS, observational study; PDF, probability density function; RCT, randomized controlled trial.

https://doi.org/10.1371/journal.pone.0212959.g001

Reference

  1. 1. Alexander J Jr, Edwards RA, Brodsky M, Manca L, Grugni R, Savoldelli A, et al. (2018) Using time series analysis approaches for improved prediction of pain outcomes in subgroups of patients with painful diabetic peripheral neuropathy. PLoS ONE 13(12): e0207120. https://doi.org/10.1371/journal.pone.0207120 pmid:30521533

Citation: Alexander J Jr, Edwards RA, Brodsky M, Manca L, Grugni R, Savoldelli A, et al. (2019) Correction: Using time series analysis approaches for improved prediction of pain outcomes in subgroups of patients with painful diabetic peripheral neuropathy. PLoS ONE 14(2): e0212959. https://doi.org/10.1371/journal.pone.0212959

Published: February 26, 2019

Copyright: © 2019 Alexander 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.