Table 3.
Results of the multivariable regression models on the regression slope in patients
| Frequentist regression | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Final model (Stepwise backward selection) | Estimate | SE | Std Beta | t-value | P | Adjusted R2 (SE) | F | P | |
| (Intercept) | −5.41 | 0.87 | −6.19 | 0.000 | 0.418 (4.18) | 8.05 | 0.001 | ||
| AV component 1 | −2.57 | 0.71 | −0.54 | −3.60 | 0.002 | ||||
| AV component 2 | −1.64 | 0.74 | −0.33 | −2.21 | 0.038 | ||||
| PK component 1 | −1.92 | 0.74 | −0.39 | −2.59 | 0.017 | ||||
|
| |||||||||
| Bayesian regression | |||||||||
|
| |||||||||
| Final model (BF-based selection) | Mean | SD |
95% Credible interval |
R2 | BF10 | ||||
| Lower | Upper | ||||||||
|
| |||||||||
| (Intercept) | −6.82 | 0.82 | −8.502 | −5.129 | 0.523 | 46.56 | |||
| AV component 1 | −2.15 | 0.65 | −3.491 | −0.802 | |||||
| AV component 2 | −1.37 | 0.68 | −2.774 | 0.026 | |||||
| PK component 1 | −1.61 | 0.68 | −3.001 | −0.210 | |||||
For both frequentist (top) and Bayesian (bottom) the estimated coefficients for variables included in the final (‘best’) models are reported.
AV = 18F-AV-1451; BF = Bayesian factor; PK = 11C-PK11195.