Table 1 Goodness of fits and Akaike weights for the PBMS method
From: A population-based method to determine the time-integrated activity in molecular radiotherapy
Equation number | Function name | K | Coefficient of Variation CV (max) d | Off-diagonal values of the correlation matrix (maxc) | Akaike weight (%) | Jackknife Akaike weights (% median [min,max]) |
|---|---|---|---|---|---|---|
1 | \(f_{2a}\) | 26 | 0.04 | 0.92; 0.95; 0.99b | – | – |
2 | \(f_{2b}\) | 26 | 0.31 | 0.81; 0.82; 0.86 | 0.03 | 0 [0,50] |
3 | \(f_{2c}\)a | 26 | – | – | – | – |
4 | \(f_{2d}\)a | 26 | – | – | – | – |
5 | \(f_{2e}\)a | 26 | – | – | – | – |
6 | \(f_{3a}\) | 39 | 1.96E5b | 0.93; 0.98; 0.99b | – | – |
7 | \(f_{3b}\)a | 39 | – | – | – | – |
8 | \(f_{3c}\)a | 39 | – | – | – | – |
9 | \(f_{3d}\) | 39 | 1.55E + 6b | 0.95; 0.98; 0.99b | – | – |
10 | \(f_{2a,3d}\)a | 26 | – | – | – | – |
11 | \(f_{2b, 3d}\)a | 26 | – | – | – | – |
12 | \(f_{2c,3d}\)a | 26 | – | – | – | – |
13 | \(f_{3aS1}\) | 26 + 1 | 4.27E5b | 0.95; 0.98; 0.99b | – | – |
14 | \(f_{3aS2}\) | 26 + 1 | 0.32 | 0.57; 0.59; 0.64 | 0.04 | 0 [0,66] |
15 | \(f_{3aS3}\) | 26 + 1 | 0.31 | 0.72; 0.73; 0.76 | 2.49 | 3 [0,58] |
16 | \(f_{3aS4}\) | 26 + 1 | 0.37 | 0.79; 0.81; 0.84 | 97.40 | 97 [33,100] |
17 | \(f_{3aS5}\) | 26 + 1 | 8.64b | 0.98; 0.99; 1.00b | – | – |
18 | \(f_{3aS6}\) | 26 + 1 | 0.14 | 0.64; 0.67; 0.72 | 0.04 | 0 [0,3] |
19 | \(f_{1}\)a | 13 | – | – | – | – |
20 | \(f_{4}\)e | 52 | – | – | – | – |