For statistical investigations, performances were analysed in each task through a two-way analysis of variance (ANOVA: site of stimulation (3)×TMS-SOA (5)), with repeated measures on all factors.
The two-way analysis of variance examining the effect of stimulation condition and time on the entire group (2 × 2 analysis) indicated significant effects for condition (P < 0.0001) and time (P < 0.0001), as well as a significant interaction effect for condition × time (P = 0.02).
(C ) Principal component analysis (PCA) reveals distinct responses to PDGF and FGF signaling, with the first principal component (51.29% of variance) segregating conditions based on ligand treatment and the second principal component (12.61% of variance) separating samples based on duration of stimulation.
However, in line with data obtained from photoreceptors of the flies Calliphora [6] and Drosophila [14] the variance of the responses differs at different moments of stimulation.
One-way repeated measures analysis of variance (ANOVA) was used to examine the effects of Stimulation (5 levels: FO, LSh, RSh, cM1, and photic) separately on percentage change in phase stability (entrainment) and amplitude modulation.
Student Newman Keuls Method and Friedman Repeated Measures Analysis of Variance on Ranks were used to test the effect of stimulation frequency within the same group of cells.
Data on sensory thresholds and behavioral response to hot pain were entered into a four-factor repeated measures ANOVA (analysis of variance), with duration of EA stimulation (five, fifteen, vs. thirty minutes of stimulation), time-course (pre- and post-stimulation), location of measurement (calf vs. thigh), and side of the body (ipsilateral vs. contralateral) as the factors.
For widely distributed parameters, we see that both methods tend to minimize the amount of stimulation, as this results into little response variances at maximal distances between expected model responses.
Currently, at variance with breast and testis cancer cells, there are only few data of stimulation of endogenous NIS expression in other tumor cells.
Apoptosis of each pattern of stimulation of PBMCs was expressed by means (standard error); comparisons were performed by analysis of variance after Bonferroni correction.
