Sentence examples for analysis of deviance anova from inspiring English sources

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 variable was highly significant (Anova, analysis of deviance: df = 16, P < 0.001), and a dispersion factor of 1.004 indicated a good model fit.

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

We experimentally observed differences in susceptibility to both carbaryl and potassium dichromate among the studied pond populations of D. magna (analysis of deviance, P < 0.001).

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).

An analysis of deviance associated with this model, with the variance scaled to allow for overdispersion, was used to determine significance of pruning in relation to the presence of N. fuckeliana.

As indicator for the improvement from the null model to the two-level model, we calculated McFadden's (1973) adjusted R-squared (= 1−[−2LL2-level model/−2LLnull model] = 1−[9,827.192−10,039.848]) and found an error reduction of only 2.1percentt, but which remains significant by analysis of deviance (χ2-test).

With this defined, an analysis of deviance using stepwise multivariate linear regression models was performed to determine if the Torg ratio was associated with canal area and if a "below normal" Torg ratio was predictive of lumbar stenosis for each subject.

Model selection was carried out using Akaike's Information Criterion (AIC) [29] and analysis of deviance.

The binary mildew infection data were analysed using multiple logistic regression with analysis of deviance [30].