Table IV.
Number | Description | LL (IS) | BIC (IS) |
---|---|---|---|
1 | Base model, no covariates | 5634.17 | 5728.7 |
2 | Parameter ksynH, full model (all covariates) | 5599.25 | |
3 | Parameter ksynH, removing covariates with p > 0.2 | 5597.77 | |
4 | Parameter ksynH, reduced model after stepwise pruning | 5601.50 | 5718.49 |
5 | Parameter koutH, full model (all covariates) | 5605.83 | |
6 | Parameter koutH, removing covariates with p > 0.2 | 5605.46 | |
7 | Parameter koutH, reduced model after stepwise pruning | 5602.22 | 5714.72 |
8 | Parameter ksynI, full model (all covariates) | 5591.01 | |
9 | Parameter ksynI, removing covariates with p > 0.2 | 5584.00 | |
10 | Parameter ksynI, reduced model after stepwise pruning | 5588.82 | 5701.31 |
11 | Parameter koutI, full model (all covariates) | 5589.64 | |
12 | Parameter koutI, removing covariates with p > 0.2 | 5582.85 | |
13 | Parameter koutI, reduced model after stepwise pruning | 5582.85 | 5704.34 |
14 | Parameter kloss, full model (all covariates) | 5613.80 | |
15 | Parameter kloss, removing covariates with p > 0.2 | 5620.61 | |
16 | Parameter kloss, reduced model after stepwise pruning | 5620.61 | 5724.11 |
17 | Parameter krelI, full model (all covariates) | 5625.23 | |
18 | Parameter krelI, removing covariates with p > 0.2 | 5616.80 | |
19 | Parameter krelI, reduced model after stepwise pruning | 5619.53 | 5727.52 |
20 | Parameter krelH, full model (all covariates) | 5627.29 | |
21 | Parameter krelH, removing covariates with p > 0.2 | 5625.87 | |
22 | Parameter krelH, reduced model after stepwise pruning | 5628.21 | 5731.71 |
23 | Parameter drel, full model (all covariates) | 5634.81 | |
24 | Parameter drel, removing covariates with p > 0.2 | – | |
25 | Parameter drel, reduced model after stepwise pruning | – | – |
26 | Parameter α, full model (all covariates) | 5627.67 | |
27 | Parameter α, removing covariates with p > 0.2 | 5633.77 | |
28 | Parameter α, reduced model after stepwise pruning | 5626.46 | 5725.46 |
29 | Joint model combining separate parameter models | 5636.71 | 5731.21 |
30 | Final model after stepwise pruning | 5565.16 | 5691.16 |
31 | Final model, aIron fixed to 0.001 | 5563.23 | 5684.73 |
32 | Final model, proportional error model | 5558.49 | 5679.98 |
LL log-likelihood, BIC Bayesian information criterion, IS importance sampling