Barely Significant
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“highly significant”

132,143 sentences · 132,143 papers · 160,126 search hits before verification · confirmed specimen

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p=0.09

Listed by Hankins (2013)

In the literature

highly significantP = 0.0070.1× alphaqualifiedgold
A more detailed analysis was carried out using a repeated measures ANCOVA (see Methods) which revealed that the effect of the Between-Subjects DRB1*13:02 was highly significant (P = 0.007, F-test in repeated measures ANCOVA), as was the Region x DRB1*13:02 interaction (P = 0.007, Greenhouse-Geisser test), reflecting the differential effect of DRB1*13:02 on individual regions.
highly significantp = 0.0070.1× alphaqualifiedgold
We also used these new fixation conditions together with the saccade conditions to compute the same visual sensitivity index as before and confirmed that the effect of background luminance was highly significant (p = 0.007, F = 18.71).
highly significantP = 0.0070.1× alphaqualifiedgold
For T4 lesions, the range was 1–4 cm with 49% of MUs performing a 2-cm margin (with highly significant differences between groups: 52% of AMs, 15% of PMs and 42% of FMUs, P = 0.007), 90% of MUs from 2 to 4 cm (38% of the AMs, 40% of PMs, and 53% of FMUs).
Surgical management of melanoma: an EORTC Melanoma Group survey.
Ecancermedicalscience · 2013 · PMC3622410
highly significantp = 0.0070.1× alphaqualifiedgold
Interrelationships between insulin dose at 36 weeks, IGF-I bioactivity and total IGF-I At 36 weeks, there was a highly significant inverse relationship between insulin dose and serum total IGF-I in both groups (total insulin dose: G+MET group, r = −0.36, p = 0.007; NPH+MET group, r = −0.41, p = 0.005; insulin dose/kg: G+MET group r = −0.33, p = 0.01; NPH+MET group r = −0.36, p = 0.02), (Fig. 3 ).
highly significantP = 0.0070.1× alphaqualifiedgold
Canonical correlation analysis (CCorA) showed that ecological patterns of fauna-habitat relationships and inter-fauna taxa relationships expressed, respectively, by phi coefficients and predicted abundances calculated from partial redundancy analysis (RDA), were extremely similar, and a highly significant relationship between the two datasets was observed (Pillai's trace statistic = 1.998, P = 0.007).