Sentence examples for reduction in deviance from inspiring English sources

The criterion for adding a variable to the model was a p-value of < 0.2 for the reduction in deviance.

The statistical significance of this reduction in deviance was assessed by comparing it to an appropriate chi-squared distribution (χ1).

The average improvement in fit (i.e. reduction in deviance) across all possible models containing that predictor is then computed.

This model had a reduction in deviance with respect to the stratified background model of 6.5 (p=0.04) by the likelihood ratio test.

Identified covariates were forced into the model and the observed QoL scores tested as to whether they also contributed to the prediction of missingness [ 14], as indicated by a reduction in deviance (change in -2*log likelihood).

First, we identified BRT parameters (learning rates, number of trees per step, tree complexity, bag fraction) that provided a reasonably quick reduction in deviance, in a model using only human population density as a predictor.

All ANOVA results indicated that using multiple and combined scores improved the performance of the model by showing that the reduction in the deviance is statistically significant.

First, we determined which of the five factors in isolation have significant predictive value (reduction in model deviance) in terms of predicting the methylation state of a CGI in the oocyte.

The variable that led to the largest decrease in deviance was added at each step.

This is indicated by non-significant reductions in model deviance in all cases: 1) p = 0.12 and 0.93 between GLM models, and 2) p = 0.14 and 0.66 between GAM models.

Model selection was based on Akaike information criterion (AIC), which attempts to find the simplest model that adequately explains data by trading-off reductions in residual deviance against the number of parameters used in a model (see [ 17] for a review of model selection approaches).