An overall χ deviance test comparing the fitted model with a saturated model with k = n parameters indicated that deviance for the fitted model was not significantly larger than for the saturated model.
Tree models are generated by repeated binary partitioning of a population, based on a set of predictor variables, such that the cases in the descendant subsets are increasingly more similar within those subsets, so that the overall tree deviance becomes smaller with each successive split.
Overall, while the variations in mean deviance (Figure 2b) seen between model variants were much smaller than for the models conditioned on the first infection (Figure 2a), the interaction model allowing for time varying cattle infectivity gave the most adequate fit (measured by both mean deviance and DIC, see Table 2).
Similar to analysis of variance in ordinary linear regression, we examined the overall significance of location using the difference in deviance of the complete model (equation 1) and the reduced model omitting the smoothing term.
The parametric model with a single meteorologic factor that had the best overall fit considering all three criteria greatest proportion of deviance explained, smallest first-order autocorrelation, and largest correlation of raw and predicted values on hot days included linear, quadratic, and cubic terms for maximum heat index on the same day and previous 3 days (lags 0 3; Table 2).
The interaction value can also be thought of as the relative contribution of the interaction between the two predictors towards the overall predictive performance of the individual model (the cv deviance value).
Our method could be readily implemented using standard software (with code supplied) to produce an overall better model fit as measured by BIC and deviance.
Then, alternative splicing scores (FIRMA scores) are calculated for each individual exon in each individual sample, as the deviance between the exon level and corresponding overall gene level expression measures.
The CCC-2 provides norm-referenced scores in 10 linguistic and pragmatic subscales as well as providing an overall index of communicative competence and a social interaction deviance score, which can be used to identify children with a communicative profile characteristic of autism.
The normative model performed well overall, with choice residuals centered around zero (mean ± std deviance residual = 0.053 ± 0.897) and a reasonably close match to the choice data (median ± bootstrapped SEM McFadden r 2 of 0.385 ± 0.055 across subjects).
