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. 2021 Aug 26;34(9):1689–1702. doi: 10.1111/tri.13970

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© 2021 The Authors. Transplant International published by John Wiley & Sons Ltd on behalf of Steunstichting ESOT.

This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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RVI in two different models of random forest analysis. Results are shown for cohorts 1 and 2. The RVI of a certain variable is determined by randomly shuffling the values of this particular variable in the out‐of‐bag‐sample while keeping all other variables the same. The decrease in diagnostic accuracy is a measure of the importance of this variable. In model 1, the following laboratory biomarkers were included: dd‐cfDNA, DSA‐MFI, DSA number, serum creatinine and protein/creatinine ratio. In model 2, two variables, dd‐cfDNA and DSA‐MFI, were included.