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 < 0.00010.0× alphaqualifiedgold
In a multilevel model describing HbA1c as dependent variable, the predictor time was highly significant at all time points (p < 0.0001), using time as categorical variable (drop of HbA1c at: Visit 4 = -2.3308, Visit 3 = -2.3583, Visit 2 = -2.0816, Visit 1 = -1.2916) or as continuous variable (drop of HbA1c per time unit = -0.5964).
highly significantp < 0.00010.0× alphaqualifiedgold
Results White-squid coloration changing according to substrate Our selected mathematical model revealed a highly significant interaction between the fixed effect of substrate (Fig. 3 ) and all the measured RGB color channel values (p < 0.0001) on the head that appear all highly positively correlated with each other and with the mantle (r > 0.94, p < 0.0001; Supplementary Table 1 ) and matching the destination substrate (Fig. 4 ).
highly significantp < 0.00010.0× alphaqualifiedgold
Premature thymic aging in cALL survivors To determine the normal rate of T-cell compartment immunoaging we measured blood TREC levels normalized to the T-cell count in the Quebec reference population and observed a highly significant correlation with chronological age for both men and women (Pearson correlation: males, r = −0.466; females, r = −0.504; p < 0.0001) (Fig. 1A , controls).
highly significantP < .00010.0× alphaqualifiedgold
Expression strengths were similar between groups at baseline ( P = .4561), and while controls did not change significantly over time ( P = .4926) there was a highly significant increase in signature 2 strength in patients ( P < .0001), with significant differences between the groups at M12 ( P = .0047) and M24 ( P = .0086).
highly significantp < 0.00010.0× alphaqualifiedgold
Nevertheless, its effect remained highly significant (p < 0.0001), confirming a strong association between SF-AGR and PJI occurrence. 3.5 Receiver operating characteristic curve We used the PJI group as the positive sample and the aseptic revision group as the negative sample, and then performed feature modeling based on SF-AGR, SE-AGR, ESR, CRP, and SF-PMN% ( Figure 3 ).
highly significantp < 0.00010.0× alphaqualifiedgold
( 0.0001 ) 0.38 ( 0.0004 ) − 0.02 ( 0.8372 ) − 0.16 ( 0.0829 ) − 0.31 ( 0.0001 ) ) ( a t − 3 c t − 3 p t − 3 r t − 3 ) The Portmanteau test for cross correlation of residuals, Durbin Watson tests, and the univariate model AR diagnostics were non-significant, while the R-squared for each series was highly significant (ranged from 0.44 to 0.87, p < 0.0001).
highly significantp < 0.00010.0× alphaqualifiedgold
Linear regressions for percentage of puffy fruit on the markers solcap_snp_sl_33701, solcap_snp_sl_8669, solcap_snp_sl_100164, solcap_snp_sl_20440, solcap_snp_sl_18619, solcap_snp_sl_4963, and solcap_snp_sl_531 located within 1-LSI on Chr 1 ( Figure 2 ) were highly significant ( p < 0.0001) in the validation population.