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As predicted by the hierarchical model, tactile stimuli that evoke whole-body withdrawal responses also inhibit ongoing feeding in the presence of feeding stimuli.
On the contrary, 4 centres among the high outliers identified by the hierarchical model were found to perform not differently from the mean using the classical model.
Spearman correlation coefficient of ranks and a scatter-plot were used to compare results from standard logistic regression with those obtained by the hierarchical model.
Second-level residuals, obtained by the hierarchical model, were used to evaluate the effect of each clinical centre and are presented in figure 1 with their confidence intervals.
1, 2 The stochastic model proposes that every cell in the heterogeneous cancer cell population can equally form tumors. 3 An alternative point of view is given by the hierarchical model describing a small cell population within the tumor capable of self-renewal and thereby forming tumors with a heterogeneous cell population.
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However, if, by permitting model parameters to differ by location, the hierarchical model is believed to be more realistic than the global model, then the lower precision represents a more proper translation of our knowledge into predictions.
A key feature of the CPM is that we average over adjacent probes by using the hierarchical model and do not require that the means and variances of the four classes are fixed, but rather are drawn from state specific models.
There was little evidence of clustering by study within the hierarchical model, and the robustness of the key conclusions was further supported by consistency across univariable and multivariable analyses, and the sensitivity analyses performed.
Sch-FRI rates were similar across the 6 schools (23 to 34 episodes per 100 children), but there was widespread variation by classrooms; in the hierarchical model, omitting age and school effects was inconsequential but neglecting classroom level effects led to highly significant reductions in goodness of fit.
A comparison of models of habitat suitability to an index of bobcat abundance (effort-corrected detections of bobcats by hunter) indicated that the hierarchical model (second-order multiplied by third-order of selection) provided a better description of statewide bobcat habitat than either single-scale analyses.
This was done by examining the fitness of the hierarchical model of personal illness proposed by Foulds, where the inter-class relationship is a "hierarchical non-reflexive logically inclusive one" [ 13].
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