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. 2020 May 6;20:383. doi: 10.1186/s12885-020-06882-6

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© The Author(s) 2020

Open AccessThis 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.

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Fig. 4 — Combined models for ABx and CS and controlling for covariates. a Kaplan-Meier curves for ABx and CS in combination. b Cox Proportional Hazards model incorporating both ABx and CS as well as several covariates. c Cox-LASSO models for each cancer showing the hazard ratios estimated for covariates and the number of times the covariate was included in the model. The regularization parameter was selection by 10-fold cross validation, and then the robustness was assessed by 1000 bootstrap replicates using different random samples of the data