Table 3. Multivariable Generalized Linear Mixed Models (Binary Logit) of Diagnostic Accuracy With Random Effects for Case.

Diagnostic accuracy methods	Faculty vs resident	P value	BMIa of patient	P value	Age, y	P value	Female vs male patient	P value
Overall accuracy, OR (95% CI) b
Primary and secondary diagnoses	1.19 (0.86-1.65)	.29	1.02 (0.96-1.08)	.54	0.97 (0.96-0.99)c	<.001	0.62 (0.31-1.25)	.18
Primary diagnoses only	1.83 (1.26-2.67)c	.002	1.05 (0.98-1.14)	.19	0.99 (0.97-1.01)	.34	0.78 (0.34-1.79)	.56
Secondary diagnoses only	0.57 (0.35-0.93)c	.02	0.98 (0.90-1.06)	.56	0.93 (0.91-0.96)c	<.001	0.61 (0.23-1.65)	.33
False-positive rate, OR (95% CI)
Primary and secondary diagnoses	1.37 (0.96-1.97)	.08	1.03 (0.99-1.08)	.16	1.02 (1.01-1.03)c	.001	1.73 (1.00-2.99)	.05
Primary diagnoses only	0.94 (0.59-1.51)	.81	1.03 (0.96-1.10)	.42	1.01 (0.99-1.02)	.53	1.28 (0.60-2.76)	.52
Secondary diagnoses only	2.11 (1.26-3.54)c	.005	1.04 (0.98-1.11)	.20	1.04 (1.02-1.06)c	<.001	2.29 (1.04-5.03)	.04
False-negative rate, OR (95% CI)
Primary and secondary diagnoses	0.31 (0.19-0.51)c	<.001	0.88 (0.76-1.00)	.06	1.05 (1.02-1.09)c	.002	1.04 (0.26-4.20)	.95
Primary diagnoses only	0.23 (0.13-0.41)c	<.001	0.88 (0.76-1.01)	.08	1.02 (0.99-1.06)	.23	1.76 (0.37-8.52)	.48
Secondary diagnoses only	0.76 (0.27-2.13)	.60	0.77 (0.51-1.17)	.23	1.28 (1.09-1.50)c	.002	0.12 (0.00-10.88)	.36

Abbreviation: OR, odds ratio.

^a Calculated as weight in kilograms divided by height in meters squared.

^b For overall accuracy, ORs more than 1 indicate higher accuracy and ORs less than 1 indicate lower accuracy. For false positive rate and false negative rate, ORs more than 1 indicate greater odds of false positives (or false negatives) and ORs less than 1 indicate lower odds of false positives (or false negatives).

^c These data are statistically significant after adjustment for multiple comparisons (false discovery rate–adjusted P values^14,15).