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. 2023 Apr 11;62(03-04):119–129. doi: 10.1055/a-2048-7692

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The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ( https://creativecommons.org/licenses/by-nc-nd/4.0/ )

This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.

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Fig. 1 — Correlation plots for the Cleveland Clinic data. ( A ) Correlation matrix for the original data; ( B ) mean correlation matrix of 500 datasets simulated by Mock Data Generation (modgo); ( C ) mean correlation matrix of 500 simulated dataset produced by modgo when it used the correlation matrix estimated by sbgcop as an intermediate covariance matrix; ( D ) mean correlation matrix of 500 simulated dataset by SimMultiCorrData. BP, blood pressure; CAD, coronary artery disease; ECG, electrocardiogram.