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 ) ) )Univariate and multivariate logistic regression analysis of MR imaging features of metastatic nodes, benign lymphadenopathy, and nodal lymphomas in the neck
Analysis ADC Abnormal Signal Intensity Short Axis Diameter Long Axis Diameter Univariate Coefficient 1.919 1,467 1.312 1.234 SE 0.545 0.365 0.485 0.436 P value .0004 <.0001 .0068 .0047 Multivariate Coefficient 2.170 1.406 SE 0.656 0.408 P value .0009 .0006 NS NS
Note.—NS indicates not significant; SE, standard error.