Table 5.
Comparison of Fit for Models in Example 2
| Stable Group Acute- Effects Model (9) |
Stable Group Cummulative- Effects Model (10) |
Stable Group Cummulative- Effects Model (11) |
Dynamic Group Acute-Effects Model (9) with a covariance structure for Σc00 |
|||
|---|---|---|---|---|---|---|
| CS | AR | SB-2 | ||||
| Total # of parameters | 13 | 13 | 13 | 14 | 14 | 15 |
| # of Random parameters | 5 | 5 | 5 | 6 | 6 | 7 |
| Model Fit | ||||||
| −2 RES LL | 568.81 | 569.18 | 569.47 | 566.78 | 564.99 | 564.94 |
| AIC | 578.81 | 579.18 | 579.47 | 578.78 | 576.99 | 578.94 |
| AICC | 578.95 | 579.32 | 579.61 | 578.98 | 577.19 | 579.20 |
| BIC | 599.15 | 599.52 | 599.81 | 603.19 | 601.40 | 607.42 |
Note: The model with unstructured covariance matrix did not converge and the model with a toeplitz structure yielded a non-positive definite G matrix, therefore the model fit for these models are not reported.
RES LL= Residual Log Likelihood, AIC=Akaike’s Information Criterion, AICC= Akaike’s Information Criterion Finite Sample Correction, BIC= Bayesian Information Criterion, CS=compound symmetry, AR=First-Order Autoregressive, SB-2= Stabilized Banded-Lag 2.