Fig. 1.

Calibration plots of PsyMetRiC-HK. Calibration plots illustrate agreement between the observed (y axis) and predicted risk (x axis). Perfect agreement would trace the red line. Algorithm calibration is illustrated by the black line. Triangles denote grouped observations for participants at deciles of predicted risk, with 95% C.I.’s indicated by the vertical black lines. ^aLogistic calibration takes into account differences in baseline risk that may exist between populations by re-estimating the intercept term, and also re-estimates the slope term thus assuming similar relative effects of the predictors but allowing for a larger or smaller absolute effect of the predictors. See Methods.