Barely Significant
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“highly significant”

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

Sighted at

p=0.09

Listed by Hankins (2013)

In the literature

highly significantp < 0.0010.0× alphaqualifiedgold
In the “Out-of-sample validation” section, the text “we obtained digitised maps of AADT” has been amended to “we obtained digitised maps of AADT (work day averages)”; the text “27 and 87 empirical AADT values” has been amended to “28 and 87 empirical AADT values”; the text “highly significant ( p < 0.001) and positive (0.60 and 0.70, respectively)” has been amended to “highly significant ( p < 0.005) and positive (0.55 and 0.70, respectively)”; the text “The percentage of observations that fell within the 90% prediction interval was 85.2%” has been amended to “The percentage of observations that fell within the 90% prediction interval was 89.3%”; and the text “These percentage dropped to 63.3% and 77.4%” has been amended to “These percentage dropped to 63.6% and 77.4%”.
highly significantP < 0.0010.0× alphaqualifiedgold
Results The response of the bacterial assemblages to environmental factors The combined effect of elevation, cushion habitat, and soil physico-chemical parameters on composition of bacterial assemblages derived from CE-SSCP profiles explained 55.2% of the total data variation in Nubra, which was highly significant (db-RDA, P < 0.001).
highly significantP < 0.0010.0× alphaqualifiedgold
Over two experiments of 10 mice in each experiment (total of 20 mice and 40 oviducts assessed), we consistently observed a highly significant reduction in the rate of hydrosalpinx (Table 1 , P < 0.001, chi-square analysis with Yates correction), when compared to historical controls and a slight but statistically significant drop in the rate of hydrosalpinx in the BALB/c susceptible strain ( P < 0.04).
highly significantp < .0010.0× alphaqualifiedgold
The superiority of the two-factor model over the single-factor model was further supported by a lower Akaike Information Criterion (AIC) value for the two-factor model (AIC = 4376.1) as compared to the single-factor model (AIC = 4712.9) as well as a highly significant model comparison (Δχ 2 (1) = 1238.8, p < .001).
highly significantp<0.0010.0× alphaqualifiedgold
On multivariate analysis, previous stroke/transient ischaemic attack/thromboembolism was a predictor of higher risk of stroke, death and the composite of ‘stroke and death’, while VKA treatment was a highly significant predictor of a lower risk for death (adjusted HR 0.46, 95% CI 0.28 to 0.74, p<0.001) and the combined end point of death or stroke (adjusted HR 0.64, 95% CI 0.43 to 0.96, p=0.003).