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. 2023 Mar 15;9:e43725. doi: 10.2196/43725

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©Yuting Han, Xia Zhu, Yizhen Hu, Canqing Yu, Yu Guo, Dong Hang, Yuanjie Pang, Pei Pei, Hongxia Ma, Dianjianyi Sun, Ling Yang, Yiping Chen, Huaidong Du, Min Yu, Junshi Chen, Zhengming Chen, Dezheng Huo, Guangfu Jin, Jun Lv, Zhibin Hu, Hongbing Shen, Liming Li. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 15.03.2023.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.

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Calibration plot of the esophageal cancer prediction models in the China Kadoorie Biobank by using data splitting. (A) Age-only model. (B) Simple model. (C) Intermediate model. (D) Full model. Models were fitted to a random two-thirds of the China Kadoorie Biobank data and evaluated on the remaining one-third. The calibration plots in the validation set were plotted. The observed 10-year risk was estimated by Kaplan-Meier analyses and plotted against model-predicted risk by decile.