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Levels of significance of GLM model fits were tested using analysis of deviance with chi-square distribution.
Levels of significance for the GLM-model fits were tested using analysis of deviance with chi-square distribution.
Additional potential correlations between GP88 expression and prognosis were carried out using analysis of deviance of a sequence of CPH models as described in the results section.
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We used analysis of deviance residuals to test for possible violations of the proportional hazards assumption for all Cox models.
For the logistic model, we used analysis of deviance (McCullagh and Nelder 1989) to assess the goodness of fit of the model.
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.
Consequently, we used analysis of deviance to formally test the hypothesis that the slopes and intercepts of the regressions did not vary across quarters, using a Generalized Linear Model (GLM) framework (Crawley, 2007, p. 516).
For statistical analyses of N-nitrate uptake into oocytes and the effect of treatments on the fluorescence responses, we used analysis of deviance (ANOVA); factors (sample, treatment) were treated as fixed factors.
We then used an analysis-of-deviance approach to test whether a nonlinear function improved the model fit compared with a linear term.
The effects of stage or storage period were analysed using an analysis of deviance (type II test) with F values.
A reduced model was compared with a non-factor model with only interception using the analysis of deviance test by the procedure "anova".
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