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. 2020 Dec 10;10:21683. doi: 10.1038/s41598-020-77760-1

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© 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/.

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Determination of the diagnostic utility of subsampling the RGC population in the OHT model using a Spatial Bootstrapping versus naive controls. (A–D) Difference between OHT and Naive retina randomly subsampled 100 000 times as described in the text and corresponding ROC curves (E–H). Results compared include (A, E) Nearest Neighbour Distance (NND), (B, F) Regularity Index (RI), (C, G) Mean RGC size and Mean absolute deviation in RGC size (D, H). A table with the median and 95% confidence intervals for the bootstrapping results has been added in supplement (Suppl. Table 2).