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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. 3 — Distributions of one continuous, one ordinal and one dichotomous variable from the Cleveland Clinic data for the original data, and single simulated datasets obtained from Mock Data Generation (modgo), the combination of modgo and sbgcop, and SimMultiCorrData. ( A ) Box plot of the continuous variable resting blood pressure (mmHg); ( B ) bar plot for chest pain type, an ordinal variable with four categories; ( C ) bar plot for the dichotomous variable coronary artery disease (CAD).