Sentence examples for model fit assessed from inspiring English sources

Model fitting was sequential based on the most significantly associated individual variable, with model fit assessed using the Akaike Information Criteria to ensure fitting the most parsimonious model given the small number of outcomes available for evaluation.

Variables were also checked for co-linearity and interactions and model fit assessed with the maximum likelihood test.

Variables were assessed for co-linearity (none was observed), and model fit assessed using the maximum likelihood ratio.

The selection of Poisson or negative binomial regression models was based on the model fit, assessed using a Pearson chi-square test.

Fixed and random effects models were fitted to these data with model fit assessed using residual deviance and DIC as before.

Fixed and random effects models were considered and model fit assessed using the posterior mean of the residual deviance and the deviance information criterion (DIC).

Logistic model fit was assessed with Hosmer-Lemeshow statistics and potential interactions were assessed with product terms.

Model fit was assessed using the following indices: 1) the RMSEA, a measure of absolute fit.

Model fit was assessed visually (see Supplementary data are available in Age and Ageing online Appendix 3 for some of the graphs inspected to assess model fit).

Model fit was assessed using a χ 2-test of deviance and the Akaike information criterion (AIC).

Deviations of model fit were assessed in relation to changes to catchment land hydrology.