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 < 0.00010.0× alphaqualifiedgold
ln ( R S S n ) + 2 k R S S = ∑ i = 1 n ( y i − y i ^ ) 2 = r e s i d u a l s u m o f s q u a r e s n = n u m b e r o f o b s e r v a t i o n s k = n u m b e r o f e s t i m a t e d p a r a m e t e r s i n t h e m o d e l ( i n c l u d i n g t h e i n t e r c e p t ) Result and discussion Dietary Lys levels produced a highly significant effect on plasma UA ( F (4, 31) = 103.45, P < 0.0001).
highly significantp = 0.00010.0× alphaqualifiedgold
Both cRBF and eGFR demonstrated a highly significant increase at 3 months compared to baseline (mean cRBF 251.71 ± 78.27 vs. 486.61 ± 156.08 ml/kidney/min, p = 0.0001; mean eGFR 46.62 ± 16.36 vs. 69.81 ± 24.83 ml/min/1.73 m 2 ; p = 0.02) and remained consistent until the end of the observed period.
highly significantp < 0.00010.0× alphaqualifiedgold
The linear regression fitted to log length and number of oysters per sack was highly significant (adjusted r 2 = 0.93, F 58 = 809, p < 0.0001), and yielded the following predictive relationship between the number of oysters in a known volume and the mean oyster length: h = 10 (−0.3537 log b + 2.8361) , where h is SH (from umbo to growth edge) in millimetres, and b is the number of oysters in a 52.85 l volume (standard Louisiana sack).
highly significantp < 0.00010.0× alphaqualifiedgold
ty} \oddsidemargin -1.0in \begin{document} \chi_{\left(1 \right)}^2 = \,\,\frac{{{{\left({532\,\, \times \,\,53\,\, - 13\,\, \times \,\,73} \right)}^2}\, \times \,\,671}}{{545\,\, \times \,\,126\,\, \times \,\,605\,\, \times \,\,66}} = 181.7 \end{document} The large chi-squared value evidenced a highly significant association between postoperative nausea and vomiting in surgical patients ( p < 0.0001), and the hypothesis of independence between the two symptoms was rejected.
Biostatistics: Facing the Interpretation of 2 × 2 Tables.
J Belg Soc Radiol · 2017 · PMC6251079
highly significantP < 0.00010.0× alphaqualifiedgold
Two biological replicates were analyzed for all conditions (i.e., n = 2 per condition), and highly significant ( P < 0.0001) Pearson correlation coefficient values were obtained for each replicate set ( r = 0.9 and 0.855 for p65 ChIP replicates; r = 0.849 and 0.85 for BMAL1 ChIP replicates, and r = 0.890 and 0.888 for CLOCK ChIP replicates in saline and LPS conditions, respectively) ( Supplemental Fig.