Table 5.
AIC | Log(L) | Cov P | Test | Component tested | χ2,* | df | p | |
---|---|---|---|---|---|---|---|---|
1 | 1386.99 | −691.49 | 2 | |||||
2 | 1370.22 | −682.11 | 3 | 1 vs. 2 | Intercept | 18.76 | 1 | <0.0001 |
3 | 1367.32 | −679.66 | 4 | 2 vs. 3 | Slope | 4.90 | 1 | 0.0268 |
4 | 1368.14 | −679.07 | 5 | 3 vs. 4 | COVI,S | 1.18 | 1 | 0.2778 |
AIC, Akaike Information Criterion (AIC); log(L), log likelihood; Cov P, the number of covariance parameters; df, degrees of freedom. The final model is indicated in bold.
Log-likelihood ratio tests.
Model 1 includes the final fixed effects structure with no random effects. Model 2 contains the same fixed effects as model 1 with random intercepts. Model 3 contains the same fixed and random effects as model 2 with random slopes. Model 4 contains the same fixed and random effects as model 3, allowing for nonzero covariance between intercepts (I) and slopes for time (S).