Table 2.
Model building summary, base scenario with allometric weight on (V1, V2, CL, Q), sorted by BIC
Additional covariates | –2LL | AIC | BIC | Number of parameters |
---|---|---|---|---|
None | 5616 | 5636 | 5680 | 10 |
CPB (V2, V1) | 5609 | 5633 | 5686 | 12 |
CPB (V2) | 5613 | 5635 | 5684 | 11 |
CBP (V1) | 5611 | 5633 | 5682 | 11 |
CPB (V2, V1), PMA (CL) | 5595 | 5621 | 5679 | 13 |
CPB (V2), PMA (CL) | 5600 | 5624 | 5677 | 12 |
CPB (V1), PMA (CL) | 5597 | 5621 | 5675 | 12 |
PMA (CL) | 5602 | 5624 | 5673 | 11 |
CPB (Q, V2) | 5593 | 5617 | 5671 | 12 |
CPC (Q) | 5595 | 5617 | 5666 | 11 |
CPB (Q, V2, V1) | 5582 | 5608 | 5666 | 13 |
CPB (Q, V2), PMA (CL) | 5579 | 5605 | 5663 | 13 |
CPB (Q, V1) | 5584 | 5608 | 5662 | 12 |
CPB (Q), PMA (CL) | 5580 | 5604 | 5658 | 12 |
CPB (Q, V2, V1), PMA (CL) | 5568 | 5596 | 5658 | 14 |
CPB (Q, V1), PMA (CL) | 5570 | 5596 | 5653 | 13 |
CPB (CL) | 5489 | 5511 | 5560 | 11 |
CPB (Cl), PMA (CL) | 5478 | 5502 | 5556 | 12 |
CPB (V1, CL) | 5467 | 5491 | 5544 | 12 |
CPB (V1, CL), PMA (CL) | 5456 | 5482 | 5540 | 13 |
CPB (V2, CL) | 5448 | 5472 | 5526 | 12 |
CPB (V2, CL), PMA (CL) | 5439 | 5465 | 5522 | 13 |
CPB (V2, V1, CL) | 5391 | 5417 | 5475 | 13 |
CPB (V1, V1, CL), PMA (CL) | 5383 | 5411 | 5473 | 14 |
CBP (Q, V1, CL) | 5378 | 5404 | 5462 | 13 |
CPB (Q, V1, CL), PMA (CL) | 5368 | 5396 | 5459 | 14 |
CPB (Q, CL) | 5379 | 5403 | 5456 | 12 |
CPB (Q, CL), PMA (CL) | 5369 | 5395 | 5453 | 13 |
CPB (Q, V2, V1, CL) | 5348 | 5376 | 5438 | 14 |
CPB (Q, V2, V1, CL), PMA (CL) | 5339 | 5369 | 5436 | 15 |
CPB (Q, V2, CL) | 5350 | 5376 | 5434 | 13 |
CPB (Q, V2, CL), PMA (CL ) | 5341 | 5369 | 5432 | 14 |
−2LL, minus two times the log likelihood; weight allometric= bodyweight with theta values fixed to 0.75 (CL, Q) and 1 (V1, V2)
AIC, Akaike information criterion; BIC, Bayesian information criterion; CL, systemic clearance; CPB, cardiopulmonary bypass; PMA, postmenstrual age; Q, intercompartmental clearance; V1, central volume of distribution; V2, peripheral volume of distribution. Bold number, the lowest values for the model quality parameters