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In Experiment 3, stimulus items were matched for familiarity and naming accuracy of elderly controls when their performance was off-ceiling, and again no differential effect of category was found.
Using Besag-York-Mollié regression models with Integrated Nested Laplace approximations for Bayesian inference, we assessed the relative risk of dying from these tumors in 2-, 3-, 4-, and 5-km zones around installations, and analyzed the effect of category of industrial group.
Using spatial Besag York Mollié regression models with integrated nested Laplace approximations for Bayesian inference, we assessed the relative risk of dying from cancer in a 5-km zone around installations, analyzed the effect of category of industrial activity according to the manufactured product, and conducted individual analyses within a 50-km radius of each installation.
An ANOVA with category as the within-subject factor and group as the between-subject factor yielded an effect of category (F (2, 48) = 65.27, p<0.001).
The ANOVA of mean MEP peak-to-peak amplitudes revealed only a trend for the effect of category, F 2, 26) = 3,26, p = 0.05.
We first identified activity specific to each stimulus category (events, persons or objects) using statistical parametric maps (SPMs) of the main effect of category.
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The ANCOVA's corrected model for proportional gains was significant, F 4, 100) = 9.07, p <.001 with a marginal effect of class category, F 2, 100) = 2.92, p =.06.
In addition, it has been suggested that Bayesian inference underlies the effect of categories on behavior in reconstruction tasks [24].
Again, this replicated our findings from the previous experiments, with no effect of category-level information appearing once visual similarity was controlled.
*P value < 0.05 The dynamic models showed no differences in the effect of categories of MVPA change on gains in BMI or FFM between boys and girls.
The analyses of fMRI responses showed effects of perceived size/distance in addition to effects of category in LO and the PPA.
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