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
The differences in latency to lay between large and small focal worms paired with matched or unmatched partners were highly significant (GLM; focal worm category [small]: (β = 1.025 ± 0.210, χ 2 = 25.386, df = 1, P < 0.0001; partner’s size: [unmatched]: (β = 0.434 ± 0.192, χ 2 = 5.625, df = 1, P = 0.018).
highly significantP < .00010.0× alphaqualifiedgold
22 - 26 For DCIS components, in a prospective study by Kuhl et al 29 on 593 consecutive women with invasive cancer, the sensitivity advantage of MRI over mammography plus ultrasound for depicting DCIS components was highly significant ( P < .0001) and increased with increasing relative size and increasing nuclear grade of DCIS components.
highly significantp < 0.00010.0× alphaqualifiedgold
Association of DOX-induced cardiotoxicity with CBR3 V244M genotype status We compared left ventricular systolic function from pre- and post-DOX treatment echocardiograms in each CBR3 V244M genotype group and found a highly significant effect of DOX treatment on left ventricular systolic function (F[1,89] = 50.33, p < 0.0001, two-way ANOVA).
highly significantp = 0.00010.0× alphaqualifiedgold
Repeatabilities (intra-class correlation coefficients, r 1 ) of FAs calculated from mammograms were calculated on a random sub-set of 20 mammograms from the study and showed highly significant r 1 values (repeated measures ANOVA, 20 sets of mammograms, FA breast width r 1 0.98, p = 0.0001; FA breast height r 1 0.86, p = 0.0001).
Breast asymmetry and predisposition to breast cancer.
Breast Cancer Res · 2006 · PMC1557716
highly significantP <.00010.0× alphaqualifiedgold
Highly significant changes were found for: contraindication of vaccination ( P <.0001, RR=0.15); forecasting vaccine requirement ( P <.0001, RR=0.22); EPI target estimation ( P =.0068, RR=0.55); coverage rate calculation ( P <.0023, RR=0.44); dropout rate calculation ( P <.0001, RR=0.27); and preparation of coverage monitoring chart ( P =.0007, RR=0.36).