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Table 2 Measures of model performance in predicting 28-day risk of COVID-19 mortality, using the “selected” models

From: Comparison of methods for predicting COVID-19-related death in the general population using the OpenSAFELY platform

Approach; measures of infection prevalence included; model form

Validation period

COVID-19 deaths/sample size

C-statistic

Observed mean risk (%)

Predicted mean risk (%)

Calibration

Intercept (95% CI)

Slope (95% CI)

(A), none, Cox

1

455/11,972,492

0.924

0.0038

0.0038

0.00 (−0.10, 0.09)

0.95 (0.86, 1.05)

2

4471/11,955,296

0.934

0.0374

0.0038

2.30 (2.27, 2.32)

1.02 (0.99, 1.05)

3

1246/11,942,608

0.941

0.0104

0.0037

1.03 (0.97, 1.08)

1.05 (1.00, 1.11)

(B), modelled estimates, Poisson

1

455/11,972,492

0.925

0.0038

0.0044

−0.15 (−0.24, −0.06)

0.93 (0.84, 1.02)

2

4471/11,955,296

0.937

0.0374

0.0354

0.06 (0.03, 0.09)

1.00 (0.97, 1.03)

3

1246/11,942,608

0.944

0.0104

0.0128

−0.20 (−0.26, −0.15)

1.03 (0.98, 1.09)

(B), A&E COVID-19 attendances, Poisson

1

455/11,972,492

0.921

0.0038

0.0145

−1.34 (−1.43, −1.25)

0.92 (0.83, 1.02)

2

4471/11,955,296

0.933

0.0374

0.0420

−0.12 (−0.15, −0.09)

0.99 (0.96, 1.02)

3

1246/11,942,608

0.943

0.0104

0.0197

−0.64 (−0.69, −0.58)

1.05 (0.99, 1.10)

(B), Suspected COVID-19 in primary care, Poisson

1

455/11,972,492

0.921

0.0038

0.0085

−0.80 (−0.89, −0.71)

0.90 (0.81, 1.00)

2

4471/11,955,296

0.935

0.0374

0.0378

−0.01 (−0.04, 0.02)

1.00 (0.97, 1.03)

3

1246/11,942,608

0.942

0.0104

0.0156

−0.41 (−0.46, −0.35)

1.04 (0.98, 1.09)