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. 2023 Apr 10;9(4):e15283. doi: 10.1016/j.heliyon.2023.e15283

Fig. 3.

Fig. 3

Calibration plots of the prediction models for death and critical outcomes in patients with COVID-19 in derivation cohort (Panels A and B) and in validation cohort (Panels C and D). Panel A represents the calibration plot for death in the derivation cohort with an O:E ratio of 0.98 (95%CI, 0.76–1.25). Panel B represents the calibration plot for critical outcomes in the derivation cohort with an O:E of 1.00 (95%CI, 0.80–1.24). Panel C represents the calibration plot for death in the validation cohort with an O:E ratio of 0.65 (95%CI, 0.49–0.85). Panel D represents the calibration plot for critical outcomes in the validation cohort with an O:E ratio of 0.67 (95%CI, 0.52–0.84). The diagonal is what would result if the predicted probability of the model was the same as the actual probability of the model so that the prediction is neither underestimated nor overestimated.