Sentence examples for in deviance with from inspiring English sources

Age, PPSv2 and CCI entered the models as continuous variables, Significance were assessed by fitting nested models and testing the drop in deviance with X2 tests.

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.

We followed model simplification by sequentially dropping the least significant term and comparing the change in deviance with and without the term to chi-squared distributions, until the minimal adequate model was reached.

With the exception of the survival analysis and the binomial generalized linear models, where the model output is reported, we followed model simplification by sequentially dropping the least significant term and comparing the change in deviance with and without the term to chi-square distributions until the minimal adequate model was reached.

All variables in the final model were variables for which, when excluded, the change in deviance compared with the corresponding chi-square test statistic on the relevant degrees of freedom was significant.

All variables remaining in the final model were variables for which when excluded the change in deviance compared with the corresponding X2 test statistic on the relevant degrees of freedom was significant.

Significant variables (p < 0.05) are indicated with an asterisk) Decomposition of the total reduction in deviance (R) associated with the seven environmental variables into independent (I) and dependent (J) components of R using the hierarchical partitioning method.

To evaluate the effect of the concluded models, differences in deviance explained was compared with a zero model, where cereal species and region were used as random effects were calculated.

Values were retained if on their removal there was a significant increase of the residual deviance of the model with likelihood ratio statistics (LRS) of p>0.05 and they were removed from the model if they caused an insignificant increase or decrease in the residual deviance with LRS of p<0.05.

All variables which were associated with the outcome with a change in deviance (log-likelihood ratio) at P < 0.25 were offered to a forward multivariable logistic regression.

We evaluate significance by computing the deviance statistic (minus 2 times the log-likelihood; change in deviance is distributed as chi-square, with degrees of freedom equal to the number of parameters deleted from the model) and with the help of 10,000 samples from the posterior distributions of the coefficients using Markov chain Monte Carlo sampling.