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. Author manuscript; available in PMC: 2025 Jan 8.
Published in final edited form as: Neurobiol Aging. 2024 Sep 3;144:12–18. doi: 10.1016/j.neurobiolaging.2024.08.009

Table 5.

Multiple linear regression model predicting learning of verbal memory.

Model fit measures: R2: Adjusted R2: F: P:
Model 1: Demographics 0.07985 2.794 0.04809
0.1244
Model 2: Model 1 + FBP status 0.0697 2.105 0.09251
0.1328
Model 3: Model 2 + Aβ42/Aβ38 0.4412 6.302 5.15E−05
0.5245
Model 3 Results: Estimate: SE: t: P:
(Intercept) 11.445 3.589 3.189 0.0028
Age −0.066 0.044 −1.508 0.1394
Sex 6.082 1.391 4.373 8.51E−05
Education −0.138 0.147 −0.937 0.3544
FBP SUVR 3.842 1.355 2.835 0.0072
Aβ42/Aβ38 −3.343 0.589 −5.678 1.34E−06
Sex:Aβ42/Aβ38 2.086 0.661 3.158 0.0030
FBP:Aβ42/Aβ38 1.897 0.637 2.976 0.0049

Data reflect RAVLT learning trial A5. Demographic data included age, sex and education. SE, standard error. 18 F-florbetapir (FBP) standardized uptake value ratio (SUVR).