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The model adequacy of cytotoxicity was also predicted through regression analysis and ANOVA.
While the AIC, CAIC, BIC and ECVI all indicate how well the model will cross-validate to another sample, the RMSEA provides a 'rule of thumb' cutoff for model adequacy of < 0.08.
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In all models, adequacy of fit was considered using residuals, tests for homoscedasticity and Aikakes Information Criterion AICC).
Table 6 displays the results, with and without the outlier identified at model adequacy assessment, of ANOVA comparisons of sequential models; the results confirmed those of the univariate analyses.
The determination of model adequacy is made on the basis of goodness of fit statistics; however, several models all with different parameter values may pass these statistical tests.
To check model adequacy, the use of dispersion and deviance is often used.
Model adequacy checking indicates appropriateness of fit of the models.
The details of model development and model adequacy test by analysis of variance (ANOVA) are presented in this paper.
Standard diagnostic checks of model adequacy and unusual observations were performed and revealed that some of the models were heteroscedastic.
A Pearson correlation coefficient 0.974 between simulated and experimental data is indicative of model adequacy.
Diagnostics of model adequacy was performed by predicted versus actual, normal % probability and internally studentized residuals.
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