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:Results summary from the brain age prediction model
Experiment Results Notes Model validation MAE = 2.46 yr Existing work MAE = 4–13.5 yr Cross-sectional ANOVA P < .01 All comparisons except NC/sMCI Longitudinal ANOVA (slopes) P < .05 All cMCI comparisons except cMCI-AD Longitudinal ANOVA (intercepts) P < .01 All AD comparisons 1-year interval t tests P < .01 sMCI/cMCI up to 4 years before conversion Correlation analysis P < .05 p-tau, aβ, APOE-4