Barely Significant
← all phrases

“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<0.00010.0× alphaqualifiedgold
10.1136/bmjgh-2019-001837.supp2 Supplementary data Correlations of anaemia between children and women Despite the fact that the prevalence of anaemia in women was much lower than in children, the prevalence of total anaemia, moderate+severe anaemia and mean haemoglobin concentration between children and women showed a highly significant, strong positive correlation (0.80, 0.76, 0.79, respectively; p<0.0001 for all).
highly significantP < 0.00010.0× alphaqualifiedgold
Chi square values for the independence between genotypes of RM136 and days to heading (early and late heading divided by the dotted line in Figure 1 ) were 26.880, 81.073, and 86.693 for Jpn1, Jpn2, and W1297, respectively, all highly significant ( P < 0.0001).
highly significantp = 0.00010.0× alphaqualifiedgold
Firstly, the gesture-only conditions (blurred, pointing, give-me gestures) were statistically investigated in a 2-way ANOVA (Time window × Gesture type) calculated across the three time windows, which revealed a highly significant interaction (F(4, 96) = 8.47, ε = 0.66, p = 0.0001, η p 2 = 0.26).
highly significantP < 0.00010.0× alphaqualifiedgold
The percentage of children from urban area had more bleeding than that of rural area and it was highly significant ( P < 0.0001), and the percentage of children from rural area had more calculus than that of urban area and it was highly significant ( P < 0.0001) [ Table 2 ].
highly significantp -value <0.00010.0× alphaqualifiedgold
However, considering SIRI, simple linear regression shows a highly significant statistical correlation of this index with age, with an increase in SIRI values according to age ( Figure 2 a; R 2 = 0.08; p -value <0.0001), although significant heterogeneity exists at extreme ages ( Figure S5 ).
highly significantp<0.00010.0× alphaqualifiedgold
Despite significant mixing between Vashon and Whidbey populations with the mainland ( Fig 3 ), the expanded regression model shows a large and highly significant negative contribution of remote geography to cumulative COVID-19 rates in the Puget Sound region: -49 cases/K (p<0.0001).