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. 2019 Apr 24;19:85. doi: 10.1186/s12874-019-0714-z

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© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

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Fig. 5 — Impact of ω, for α₀ = 0, on the operating characteristics for scenarios S1 to S4. A Weibull distribution is used for the historical and new data. We assume here commensurability between historical and new control arm, with various values of $σ_{H}^{2}$ equivalent to 329, 66 and 22 events, The horizontal line represents the metric for α₀ = 0 and ω = 0.1