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 6:Multivariate logistic regression analysis model for poor outcome (modified Rankin scale score > 2) performed with predictive factors (age per year, high collateral score, and complete recanalization)
Predictive Factor Estimate Standard Error χ2 P > χ2 Age per year −0.0620 0.0306 4.10 .0429 High collateral score 3.27 1.299 6.33 .0119 Complete recanalization 2.65 0.890 8.88 .0029 Intercept −1.019 1.87 0.30 .586
Note.—Whole model test: R2 = 0.3476; P < .0001.