Correction to: Two-stage Bayesian hierarchical modeling for blinded and unblinded safety monitoring in randomized clinic

  • PDF / 194,661 Bytes
  • 1 Pages / 595.276 x 790.866 pts Page_size
  • 21 Downloads / 237 Views

DOWNLOAD

REPORT


(2020) 20:227

CORRECTION

Open Access

Correction to: Two-stage Bayesian hierarchical modeling for blinded and unblinded safety monitoring in randomized clinical trials Junhao Liu1,2, Jo Wick1, Renee’ H. Martin3, Caitlyn Meinzer3, Dooti Roy4 and Byron Gajewski1* Correction to: BMC Med Res Methodol 20, 211 (2020) https://doi.org/10.1186/s12874-020-01097-6 Following publication of the original article [1], the authors would like to correct a sentence in the second paragraph under the heading Discussion. The sentence currently reads: The Beta-Binomial model was originally proposed by Ball, and further development of the Binomial model was introduced in his recent safety monitoring paper as well [27]. The sentence should read: The Beta-Binomial model was originally proposed by Ball, and further development of bridging blinded and unblinded analysis was introduced in Lin’s recent safety monitoring paper as well [27]. Author details 1 Department of Biostatistics & Data Science, University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd, Kansas City, KS 66160, USA. 2 Novartis, East Hanover, NJ 07936, USA. 3Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA. 4 Boehringer Ingelheim, Ridgefield, CT 06877, USA.

Reference 1. Liu J, et al. Two-stage Bayesian hierarchical modeling for blinded and unblinded safety monitoring in randomized clinical trials. BMC Med Res Methodol. 2020;20:211. https://doi.org/10.1186/s12874-020-01097-6. The original article can be found online at https://doi.org/10.1186/s12874020-01097-6. * Correspondence: [email protected] 1 Department of Biostatistics & Data Science, University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd, Kansas City, KS 66160, USA Full list of author information is available at the end of the article © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.