<p>A Statistical model comparison in testing the models when P = 105 and Q = 27.</p
<p>Comparison of fit for univariate and multivariate models (with contrast effect).</p
Comparing performance of the proposed methods built with different number of individual models.</p
<p>Comparison between standard fully adjusted models and non-linear models, according to goodness of...
<p>A Statistical model comparison in training the models when P = 105 and Q = 27.</p
<p>Comparison of the measurements between the three models, for each measurement.</p
Statistical comparison of the basic and modified models using Mann–Whitney U tests.</p
Results of comparison of correctly predicted proportions of cases by the two models.</p
Model comparison of H1, H2, and H3 for the four RQA measures for the O→R condition.</p
Model comparison between logistic regression and mixed effect logistic regression.</p
Model comparison between logistic regression and mixed effect Logistic regression.</p
<p>Comparison of pairwise linear models for response times and response levels data.</p
<p>Comparison of the Adequacy Index and Log Likelihood ratios of diagnostic models.</p
<p>A comparison between model relative peak heights and measured relative peak heights.</p
Statistics comparing the recoded responses for the three behavior questions by condition.</p
<p>Comparisons of model fit statistics between 2-factor and 3-factor models (n = 296).</p
<p>Comparison of fit for univariate and multivariate models (with contrast effect).</p
Comparing performance of the proposed methods built with different number of individual models.</p
<p>Comparison between standard fully adjusted models and non-linear models, according to goodness of...
<p>A Statistical model comparison in training the models when P = 105 and Q = 27.</p
<p>Comparison of the measurements between the three models, for each measurement.</p
Statistical comparison of the basic and modified models using Mann–Whitney U tests.</p
Results of comparison of correctly predicted proportions of cases by the two models.</p
Model comparison of H1, H2, and H3 for the four RQA measures for the O→R condition.</p
Model comparison between logistic regression and mixed effect logistic regression.</p
Model comparison between logistic regression and mixed effect Logistic regression.</p
<p>Comparison of pairwise linear models for response times and response levels data.</p
<p>Comparison of the Adequacy Index and Log Likelihood ratios of diagnostic models.</p
<p>A comparison between model relative peak heights and measured relative peak heights.</p
Statistics comparing the recoded responses for the three behavior questions by condition.</p
<p>Comparisons of model fit statistics between 2-factor and 3-factor models (n = 296).</p
<p>Comparison of fit for univariate and multivariate models (with contrast effect).</p
Comparing performance of the proposed methods built with different number of individual models.</p
<p>Comparison between standard fully adjusted models and non-linear models, according to goodness of...
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