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
Among the n-6 PUFA, statistically significant differences ( P <0.01) were observed for linoleic fatty acid and ∑n-6 PUFA, and highly significant differences ( P <0.001) were observed for γ -linolenic (C18:3 n-6) and arachidonic fatty acids.
highly significantP < 0.0010.0× alphaqualifiedgold
Student’s t -test indicated differences in mutation accumulation between allelic variants of sexual accessions as compared with facultative or obligate apomictics for less than half of the genes ( P < 0.05), whereas highly significant differences were observed between the mutation accumulation of VASL alleles as compared with any other gene tested within sexual accessions ( P < 0.001).
highly significantP < . 0010.0× alphaqualifiedgold
While the percentage of single participants was not significantly different between cases and controls, a highly significant difference ( P < . 001) was found when diagnostic groups were considered: single were 92.7% of schizophrenic patients, 78.4% of personality disorders, and 79.8% of other diagnoses.
highly significantP < 0·0010.0× alphaqualifiedgold
Whereas both blood group O and B patients possess circulating seric anti‐A, it appears and it is statistically highly significant ( P < 0·001) that O group patients are underrepresented (49·4 % vs. 57·6%), whereas B group patients are, on the contrary, overrepresented (50·6% vs. 42·4%), meaning that anti‐A from O is more protective than anti‐A from B.
COVID-19 and ABO blood group: another viewpoint.
Br J Haematol · 2020 · PMC7283642
highly significantp < 0.0010.0× alphaqualifiedgold
There is a much less striking pattern for barriers with men reporting slightly more barriers both in addiction and in recovery and with no gender difference in the reduction in recovery barriers in the time in between. The final analysis attempted to predict the total number of recovery assets in recovery using the following factors as independent variables: age, gender, length of recovery, age of first drug use, age of last drug use, recovery strengths in active addiction, recovery barriers in active addiction and recovery barriers in recovery The final model was highly significant (F = 28.58, p < 0.001), predicting 31.8% of the variance of recovery strengths for individuals in recovery, with only age of first use as a non-significant predictor in the final model (see Table 7 ).