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 3:Age, gender, and height were analyzed using a mixed effects model Canal Area ~ age + gender + height + gender*height + (1 | subject). This table represents the Intercept fit - equivalent to traditional regressiona
Fixed Effects Estimate Standard Error T Value Pr (>|t|) (Intercept) −278.18495 43.20594 −6.439 0.00 Age 0.05158 0.08429 0.612 0.54 Sex −0.63539 62.56533 −0.01 0.10 Height 8.00079 0.66184 12.089 0.00 Sex:height −0.46311 0.93188 −0.497 0.62
Note:—Pr (>|t|) indicates p-value.
↵a The model fit is summarized. Height is the only variable that is statistically significantly related to canal areas.