1naresh
Array ( [urn:ac.highwire.org:guest:identity] => Array ( [runtime-id] => urn:ac.highwire.org:guest:identity [type] => guest [service-id] => ajnr-ac.highwire.org [access-type] => Controlled [privilege] => Array ( [urn:ac.highwire.org:guest:privilege] => Array ( [runtime-id] => urn:ac.highwire.org:guest:privilege [type] => privilege-set [privilege-set] => GUEST ) ) [credentials] => Array ( [method] => guest ) ) ) 1nareshArray ( [urn:ac.highwire.org:guest:identity] => Array ( [runtime-id] => urn:ac.highwire.org:guest:identity [type] => guest [service-id] => ajnr-ac.highwire.org [access-type] => Controlled [privilege] => Array ( [urn:ac.highwire.org:guest:privilege] => Array ( [runtime-id] => urn:ac.highwire.org:guest:privilege [type] => privilege-set [privilege-set] => GUEST ) ) [credentials] => Array ( [method] => guest ) ) )Table 4:Classification tables for the multivariate binary logistic regression modelsa
MRI Sequences Sensitivity (95% CI) (%) Specificity (95% CI) (%) PPV (95% CI) (%) NPV (95% CI) (%) Structural MRI alone 32.9 (22.3–43.5) 97.0 (94.8–99.2) 78.1 (63.8–92.5) 81.7 (77.1–86.2) Structural MRI and TOF-MRA 75.7 (65.7–85.8) 98.7 (97.1–100.2) 94.6 (88.8–100.5) 92.8 (89.5–96.1) Structural MRI, TOF-MRA and pCASL 88.6 (81.1–96.0) 96.4 (93.9–98.9) 88.5 (81.1–96.0) 96.4 (93.9–98.9)
↵a Classification table generated for a probability value of P = .05 for each of the 3 multivariate models.