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Table 2 Data generated from ROC curves and logistic regression

From: Can American College of Radiology in-training examination scores be used to predict Canadian radiology licensing examination results? A retrospective study

Year of training* Threshold ACR score† OR‡ 95% CI for OR 100 × [OR −1] (%) § ACR 50** 95% CI for ACR 50
PGY2 32 0.91 (P=0.0068) [0.84, 0.97] −9.3 4 [0, 13]
PGY3 42 0.93 (P=0.0014) [0.89, 0.97] −6.8 4 [0, 15]
PGY4 63 0.94 (P=0.0091) [0.90, 0.98] −6.0 8 [0, 23]
PGY5 47 0.93 (P=0.0039) [0.88, 0.98] −7.3 8 [0, 20]
  1. PGY=post graduate year, ACR=American college of radiology, OR=odds ratio, CI=confidence interval.
  2. * PGY2 is the first year of 4 consecutive years of radiology-specific specialty training.
  3. † Threshold ACR score at or above which point there is a negligible risk of exam failure. Estimated from the ROC curves.
  4. ‡ Odds ratios were calculated using logistic regression. Statistical significance at P ≤ 0.05.
  5. § 100 × [OR-1] is a formula that gives the percentage change in the odds of failing for every 1 unit increase in the ACR score. A negative value, as in this case, indicates the odds of failing decrease with increases in the ACR score.
  6. ** ACR 50 is the ACR score at which point there was a 50% chance of failure. This was estimated for each year of training using the logistic regression curves.