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Each method employs a different approach to evaluate the degree of perturbation between two experimental measures for a given HYP (see Table 1 and Methods).
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The method enables direct comparison between two experimental populations as well as measuring these two populations in relation to a third reference sample, allowing comparisons within the slide and across slides.
This clarifies difference of precision levels between two experimental procedures.
This analysis aimed to evaluate differences in motor thresholds after the intervention and the stability of this measure between the two experimental conditions.
Clinically relevant differences could be observed between the two experimental conditions only at the last measure (day 1) but did not reach statistical significance (Table 1).> -wrap-foot> In spite of large inter-subject variability, significant differences could be observed between the two experimental conditions at the last measure (see Table 1).
We then compared the resulting F-ratios of the 'strain-by-lab' interaction term between the two experimental designs using a second GLM blocked by behavioral measure: y = experimental design+behavioral measure.
Significant differences in IPT, tIPT, RMS, and RTD (relative to the 0 250 ms interval) were found between the two experimental MVCs, showing that PAP elicited increases/decreases in strength-related criterion measures.
A one-way ANOVA was used to compare duration of the motor task, as an indirect measure of surgical performance, between the two experimental conditions.
A two-way repeated measures ANOVA failed to find a significant difference between the two experimental conditions (p = 0.559).
Correlations between experimental measures of risk aversion are a more precisely estimated zero, whereas correlations for time and social preferences are larger and noisier.
The difference between the two experimental conditions was statistically significant.
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