TABLE 3. Concussion classification success rates of a forward conditional logistic regression model (first column, top left) and a linear regression model (second column, top right).

Forward conditional logistic regression		Linear regression model
0.5 cutoff, all data		0.5 cutoff, all data
Sensitivity	76.0%	Sensitivity	68.0%
Specificity	95.9%	Specificity	96.5%
Correctly classified	91.4%	Correctly classified	90.0%
0.28 cutoff, all data		0.365 cutoff, all data
Sensitivity	90.0%	Sensitivity	92.0%
Specificity	88.8%	Specificity	89.4%
Correctly classified	89.1%	Correctly classified	90.0%
Cross-validation linear models (n = 500)
Sensitivity	86.8% (15.1%)
Specificity	89.9% (13.4%)
Correctly classified	88.3% (9.7%)

Each model was tested on all data used in the study, and the linear model used only variables isolated by the logistic model process. The combined results of 500 cross-validations are shown (first column, bottom left), where for each run 5 cases were set aside from each of the 2 groups.