Sentence examples for deviance analysis from inspiring English sources

P # means P values were calculated by deviance analysis for logistic regression model after adjusted for gender and age.

In addition, to avoid the heterogeneity of gender and age, deviance analysis for the logistic regression model adjusted for gender and age also showed that the CNVs in IL17REL and FCGR3A were significantly different between gout patients and control subjects (P = 0.002 and 0.038, respectively).

We used stepwise techniques for inclusion and exclusion of variables in the model, testing the significance of each individual variable by means of a deviance analysis.

Deviance analysis resulting from the generalized linear model approach showed no significant differences between years, between seasons, nor between seasons within each year in terms of AST presence.

In terms of FE abundance, deviance analysis showed no significant difference between years, between seasons or between seasons within each year.

Deviance analysis showed no significant differences between years, between seasons, or between seasons within each year when the abundance of faecal coliform (FC) or enterococci (FE) were considered.

In Poisson regression analysis, deviance and Pearson Chi square goodness of fit statistics indicate there was over dispersion (Table 2).

The strengths and limitations of this paper are discussed in four categories: classification of exposures and outcomes; local or global relevance of results; confounding and effect modification; and analysis deviance.

The statistical significance of main effects and interaction terms in the model was tested with F-tests by analysis of deviance, which involved looking at the change in deviance caused by the removal of each term from the maximal model after having allowed for overdispersion in the data by calculating a variance heterogeneity coefficient with the Williams algorithm (25, 26 ).

We tested the effect of different lag times on NHL risk through analysis of deviance (ANODEV), testing for significant differences between model deviances from the model with no smoothing term and from the five models with smoothing terms (one for time at diagnosis, four with lag times).

To select the most appropriate explanatory model for the logistic regression, a preliminary analysis of deviance was performed during which predictors and their interactions where added sequentially until residual deviance was minimized.