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. 2016 Feb 13;8:18. doi: 10.1186/s13073-016-0274-3

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© Chang et al. 2016

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. 3 — The power of π, F _ST, and the proportion of nearly identical isolates to detect the effect of patient sharing. The proportion of nearly identical isolates is more powerful than π and F _ST if the threshold for nearly identical isolates is chosen properly. F _ST is more sensitive to changes in patient sharing if patient sharing is high (Model 4). π is less powerful in all four models here