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In choosing between models, variance components are excluded from the selection process if there is no significant deterioration in model fit after the component is dropped, as assessed by the Akaike Information Criterion (AIC 41.
For evaluating the significance of changes of model fit after restricting models within the MI procedure ΔCFI was used.
First, we examined the AIC (Akaike's Information Criterion), the AIC with correction (AICc), and BIC (Bayesian Information Criterion) values, which consider the model fit after accounting for the number of parameters in the model.
We subsequently tested model fit after additionally adjusting scores for nonverbal ability.
The model fit after calibration is excellent, and little would be gained by a multilevel analysis (Bois et al. 1996).
Model fit was assessed using the DIC [ 25]: lower values indicate better model fit after taking the number of parameters into account.
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However, when the dose-response model fitted after excluding Gb11 is used in Step 8, the rates of decline obtained from carcass surveys were more similar (80 83% decline per year) to the rate calculated from road transect data and there was no significant difference between the two types of estimate (P>0.10; Table 5).
Here, the vector (14) R (d ) : = θ ^ dir − (X a, 1 { d } ) θ ^ (d ) net of length ∑ d = 1 D (N d − 1 ) contains the residuals that are identical to those of a consistency model fitted after holding out design d.
Using these selected covariates, we carried out backward selection by dropping the variable that had a less than 10% decrease in the model fit statistic after the variable was removed from the model.
To detect SNP-transcript pairs where the magnitude of the genotype effect varied after immunization, we took the difference in Rg measures (ΔRg) from pairwise linear models fitted after (days 1, 3 and 14) and before vaccination (day 0).
To account for the prospective nature of the data, Kaplan-Meier outcome-free survival curves will be computed and Cox proportional hazard models fitted (after graphically checking the underlying proportional hazards assumptions).
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