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:Multiple regression analysis of the best model from an “all subset” model selection (R2 = 74.6%)*
Change X Change Y 95% CI P Value Core (mL) 1 SD = 13.21 +0.96 0.17–1.75 .01 NIHSS 1 SD = 5.8 +0.47 0.13–1.08 .05 Sex (male) 1 SD = 1 −1.06 −2.1 to −0.1 .035
Note:—X indicates predictors (core, NIHSS score, sex); Y, outcome measure (mRS score).
* The regression parameter is expressed as the average change of the outcome measure per 1 SD change of the predictor variable.