Sentence examples for analysis of the deviance from inspiring English sources

The statistical significance of main effects and interactions terms in the model was tested by F-tests in an analysis of the deviance (anodev) by looking at the change in deviance caused by the removal of each term from the maximal model after having allowed for over dispersion in the data by calculating heterogeneity coefficients with the Williams algorithm [24], [25].

The additional predictive value of cTnT concentrations and a GLS ≥ −15% for mortality was investigated using a multivariate Cox regression with analysis of the deviance between different models and a receiver operating characteristic (ROC) curve analysis.

Analysis of the residual deviances suggested that the model was a good fit to the data, and a Hosmer-Lemeshow goodness-of-fit test, in which large values of χ and small p-values indicate a lack of fit of the model, was not significant (χ = 7.71, p = 0.462).

The analysis of deviance of the logistic regression model of the total incidence of infection per tree across the course of the study indicated no significant difference in N. fuckeliana infection between pruned and unpruned trees (F1,167=0.24, p=0.62; Figure 3a).

All models were fitted to datasets that excluded missing education values to enable analysis of deviance; the sample sizes are shown in the "Complete N" columns in Appendix A. Inclusion of a sibling coefficient in Model 2 substantially improves the fit, as does inclusion of education (and the religious commitment variable from the ISSP data) in Model 3.

Models were compared using the analysis of deviance with the Chi-squared test, the criteria for dropping parameters being that p > 0.05.

Analysis of deviance of the combined logistic regression indicates that LD with APOL1 SNP rs73885319 accounted for most of the statistical association previously attributed to the leading MYH9 variants with ESKD (supplementary material).

There was no significant change in rates over time, and the analysis of deviance indicated that the age period model was the most parsimonious APC model.

The analysis of deviance penalized by the dispersion parameter [ 17] was used to assess the relevance of the variability.

We performed linear regressions to compare the Predicted Grade with Actual Course Grade in each quarter of the study, and then used analysis of deviance to assess the robustness of the Predicted Grade model across quarters.

A reduced model was compared with a non-factor model with only interception using the analysis of deviance test by the procedure "anova".