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 5:AIC analysis
AIC R2 χ2(df) P Value Null model 150.2 Fitted model with admission NIHSS 136.4 10.7% 15.8 <.0001 Fitted model with occlusion location 144.7 5.1% 7.5 .0062 Fitted model with both NIHSS and occlusion location (CMR) 132.12 13.5% 20.1 <.0001
Note:—Performance of combining stratified NIHSS score and vessel occlusion location (CMR score) versus each alone. The null model was compared with a model fitted with admission NIHSS score, occlusion location, and the CMR score. To quantify the predictive effects of each parameter on CMR, the AIC and coefficient of determination R2 were calculated. A better model is evidenced by a lower AIC and a higher R2.