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
Highly significant differences (p<0.001) were identified in all patients recruited into ADVANCE and the PARTNER-B MM arm for a number of key cardiovascular endpoints including atrial fibrillation, coronary artery disease, cerebrovascular disease, Logistic EuroSCORE and the proportion of patients with New York Heart Association (NYHA) class III or IV HF.
highly significantP <0.0010.0× alphaqualifiedgold
The following variables that showed a highly significant statistical difference ( P <0.001) in the univariate analyses were entered a stepwise backward logistic regression model: age; Euroscore; preoperative plasma creatinine level; ScO2 minox ; type of surgery; duration of surgery; duration of cardiopulmonary bypass (CPB); lowest hematocrit during CPB; intra- and postoperative use of inotropic/vasoactive agents (noradrenaline, dobutamine, vasopressine); cumulative use of blood products; mean RPP within the first 8 hours after ICU admission, time to first extubation (hours), and reintubation.
highly significantp =0.0010.0× alphaqualifiedgold
Price and nutritional value of German 2010 sample (n = 128) Spearman’s rank correlation showed a moderate but highly significant negative association between price and OFCOM score ( R = −0.294, p =0.001) and price and FSANZ score ( R =-0.288, p = 0.001), suggesting that a higher nutrient profiling score is linked to a higher price.
highly significantp < 0.0010.0× alphaqualifiedgold
Another important finding of our study was the highly significant difference in in-hospital mortality between cefazolin (19.7%) and flucloxacillin (39.4%) in the treatment of MSSA bacteremia ( p < 0.001).
highly significantP <.0010.0× alphaqualifiedgold
The impact of performance expectancy on behavioral intention in the chronic conditions group was highly significant (β=.46, P <.001), confirming our rationale that the expectancy of the benefits obtained with the use of mHealth technology to manage health strongly influences the intention of using it for patients with chronic conditions.