Barely Significant
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“just failed to reach statistical significance”

204 sentences · 204 papers · 232 search hits before verification · confirmed specimen

Sighted at

p=0.06

Listed by Hankins (2013) · Otte et al. (2022)

In the literature

Although the difference just failed to reach statistical significance, it should be noted that following training peak knee flexion of the paretic leg had increased by almost 10° and, thereby, exceeded the minimal detectable change for peak knee flexion (i.e. 5.7° [ 65 ]) and the minimal clinically important difference for knee sagittal range of motion in stroke survivors (i.e. 8.48° [ 66 ]).
Additionally, a recently published analysis of this study group stratified by the modified version of the Charlson Comorbidity Index (mCCI) shows a similar trend towards a worse outcome of patients with high mCCI under medical rhythm control, which just failed to reach statistical significance due to being underpowered [ 24 ].
Third, the task-dependent acceleration of the median latency of fixating heads at the very first fixation after scene onset just failed to reach statistical significance on a very conservatively corrected level in some post hoc analyses (i.e. the analysis of shift functions and the analysis for distinguishing task from practice effects in the electronic supplementary material, section S1 and table S1).
For individuals with A1012G heterozygous status, a significantly lower odds ratio (OR: 0.046, 95% CI: 0.004–0.51, p=0.012) was observed for adolescent disease onset and sex (OR: 0.23, 95% CI: 0.047–1.14, p=0.07); a trend for females to have a higher likelihood of possessing the polymorphism being observed, although this association just failed to reach statistical significance.
In contrast to previous studies showing higher rates of anxiety in FMR1 carriers ( 38 , 39 ), the mothers in the present study were not significantly higher in anxiety when compared to the normative sample; however, the difference relative to the general population just failed to reach statistical significance and could be attributed to a lack of power given our sample size.