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

Separate analyses, performed on different diagnostic groups, revealed an important and highly significant reduction (−55%) in admission rates for affective disorders ( p < 0.001); on the other hand, the decrease in admission rates observed for schizophrenia spectrum disorders (SSD), personality disorders, and substance use disorders did not reach statistical significance (possibly because the sample size for these diagnoses was not large enough).
highly significantP < 0.0010.0× alphaqualifiedgold
The effect of hip status at screening was highly significant ( P < 0.001) for both life and veterinary claims related to HD in all five breeds with an increased hazard ratio (HR) for deteriorating hip status being graded 2–4 [up to year 2000 or later D–E (moderate–severe HD)] as compared with 0 and 1 [up to year 2000 or later A–C (normal hip joints–mild dysplasia)].
highly significantp ≤ 0.0010.0× alphaqualifiedgold
* Indicates significant differences ( p ≤ 0.05), ** indicates very significant differences ( p ≤ 0.01), and *** indicates highly significant differences ( p ≤ 0.001) compared with the negative control (lymphocytes without treatment), while § indicates significant differences ( p ≤ 0.05) compared with the positive control (sodium arsenite).
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 ).