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. 2019 Dec 27;9:19946. doi: 10.1038/s41598-019-55703-9

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© The Author(s) 2019

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Marginal effects of HIV status and other clinical variables on bacterial communities when interactions are considered. Significant contributory clinical variables were determined by stepwise model selection using distance-based redundancy analysis (dbRDA). Clinical variables that showed a significant effect when interactions were considered are shown. The arrows for the variables show the direction of effect and are scaled by the unconditioned R² value. The table shows marginal effects on the constrained ordination as determined by ANOVA.