Journal of Diabetes Research

Journal of Diabetes Research / 2015 / Article

Corrigendum | Open Access

Volume 2015 |Article ID 415253 | https://doi.org/10.1155/2015/415253

Hiroaki Satoh, Tetsuya Ohira, Mitsuaki Hosoya, Akira Sakai, Tsuyoshi Watanabe, Akira Ohtsuru, Yukihiko Kawasaki, Hitoshi Suzuki, Atsushi Takahashi, Gen Kobashi, Kotaro Ozasa, Seiji Yasumura, Shunichi Yamashita, Kenji Kamiya, Masafumi Abe, "Corrigendum to “Evacuation after the Fukushima Daiichi Nuclear Power Plant Accident Is a Cause of Diabetes: Results from the Fukushima Health Management Survey”", Journal of Diabetes Research, vol. 2015, Article ID 415253, 1 page, 2015. https://doi.org/10.1155/2015/415253

Corrigendum to “Evacuation after the Fukushima Daiichi Nuclear Power Plant Accident Is a Cause of Diabetes: Results from the Fukushima Health Management Survey”

Received01 Jul 2015
Accepted30 Jul 2015
Published13 Aug 2015

In the paper titled “Evacuation after the Fukushima Daiichi Nuclear Power Plant Accident Is a Cause of Diabetes: Results from the Fukushima Health Management Survey” [1], the description of “multivariate logistic regression analysis” (Line 11) in the Abstract is incorrect. “Cox proportional hazards model” is the correct form mentioned in the description in Materials and Methods.

References

  1. H. Satoh, T. Ohira, M. Hosoya et al., “Evacuation after the fukushima daiichi nuclear power plant accident is a cause of diabetes: results from the fukushima health management survey,” Journal of Diabetes Research, vol. 2015, Article ID 627390, 9 pages, 2015. View at: Publisher Site | Google Scholar

Copyright © 2015 Hiroaki Satoh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


More related articles

 PDF Download Citation Citation
 Download other formatsMore
 Order printed copiesOrder
Views1055
Downloads354
Citations

Related articles

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.