Table 4.

Calibration statistics for MUST-plus model by race and gender

	No Recalibration					Recalibration In the Large					Logistic Recalibration
	Weak Calibration		Moderate Calibration			Weak Calibration		Moderate Calibration			Weak Calibration		Moderate Calibration
	Calibration Intercept (95% CI)	Calibration Slope (95% CI)	Rescaled Brier Score (95% CI)	Emax (95% CI)	Eavg (95% CI)	Calibration Intercept (95% CI)	Calibration Slope (95% CI)	Rescaled Brier Score (95% CI)	Emax (95% CI)	Eavg (95% CI)	Calibration Intercept (95% CI)	Calibration Slope (95% CI)	Rescaled Brier Score (95% CI)	Emax (95% CI)	Eavg (95% CI)
Black	−1.07 (−1.11, −1.02)	1.43 (1.37, 1.49)	0.30 (0.29, 0.31)	0.23 (0.22, 0.24)	0.17 (0.16, 0.18)	0.43 (0.36, 0.50)	1.43 (1.37, 1.49)	0.23 (0.21, 0.24)	0.15 (0.10, 0.19)	0.04 (0.04, 0.05)	0 (-0.07, 0.05)	0.91 (0.87, 0.95)	0.23 (0.21, 0.25)	0.08 (0.04, 0.11)	0.01 (0, 0.02)
White	−1.17 (−1.21, −1.12)	1.29 (1.23, 1.35)	0.24 (0.23, 0.24)	0.26 (0.25, 0.27)	0.20 (0.19, 0.20)	0.25 (0.19, 0.31)	1.29 (1.24, 1.34)	0.20 (0.18, 0.21)	0.20 (0.15, 0.25)	0.03 (0.02, 0.03)	−0.15 (−0.20, −0.10)	0.82 (0.78, 0.85)	0.19 (0.18, 0.21)	0.05 (0.02, 0.09)	0.02 (0.01, 0.03)
Male	−0.88 (−0.92, −0.84)	1.40 (1.36, 1.45)	0.29 (0.29, 0.30)	0.20 (0.19, 0.21)	0.15 (0.14, 0.16)	0.39 (0.34, 0.44)	1.40 (1.36, 1.45)	0.22 (0.21, 0.24)	0.18 (0.15, 0.21)	0.04 (0.03, 0.05)	0 (−0.05, 0.03)	0.88 (0.85, 0.90)	0.23 (0.22, 0.24)	0.04 (0.03, 0.07)	0.02 (0.01, 0.02)
Female	−1.49 (−1.54, −1.45)	1.42 (1.37, 1.47)	0.22 (0.21, 0.23)	0.32 (0.31, 0.32)	0.24 (0.23, 0.24)	0.40 (0.34, 0.47)	1.42 (1.37, 1.47)	0.20 (0.19, 0.22)	0.24 (0.20, 0.29)	0.04 (0.03, 0.04)	−0.11 (−0.16, −0.06)	0.91(0.87, 0.94)	0.21(0.20, 0.22)	0.02 (0.01, 0.05)	0.01 (0, 0.01)

Bold indicates a statistically significant difference in calibration metric between pairs (Black vs. White, Male vs. Female).