Unassisted error is a poor predictor of treatment effect on all pathologies aggregated (left). Without split sampling, there is a hallucinated association between treatment effect and unassisted error (right). The binscatter plots contain five evenly spaced bins containing 5,190 data points in total. The gray regression line is fitted on the raw data. The five bins are presented as 0.254 (95% CI: 0.701 to 0.211), 0.205 (95% CI: 0.431 to 0.017), 0.590 (95% CI: 0.291 to 0.878), 0.301 (95% CI: 0.487 to 1.093) and 0.419 (95% CI: 2.178 to 1.125) (left) and 1.148 (95% CI: 1.473 to 0.842), 0.078 (95% CI: 0.165 to 0.313), 0.661 (95% CI: 0.327 to 0.971), 0.979 (95% CI: 0.269 to 1.772) and 0.409 (95% CI: 0.982 to 1.919) (right). The blue dotted regression line is the final regression output after adjusting for attenuation bias. The translucent band around the blue regression line represents the 95% CI. * and ** indicate statistically significant difference from zero at a significance level of 0.05 and 0.01, respectively. NS indicates no statistical significance ( P > 0.05).
