Barely Significant
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“moderately significant”

2,179 sentences · 2,179 papers · 2,611 search hits before verification · confirmed specimen

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P<0.11p>0.11

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

In the literature

Whole-body fat mass and fat percentage had a moderately significant decrease in the groups CS-RT+CrM (−2.18 ± 0.82 (−2.88, −1.49); −0.44 (−0.77, −0.20) and −1.75 ± 1.41 (−2.94, −0.56); −0.47 (−0.93, −0.11), respectively) and CS-RT (−1.75 ± 1.41 (−2.94, −0.56); −0.47 (−0.93, −0.11) and −1.32 ± 1.12 (−2.26, −0.37); −0.36 (−0.64, −0.07), respectively) while moderate and small effects were detected for these variables in the control group.
In stroke patients, the correlation analysis between the Silver Index and spatiotemporal parameters at baseline showed moderately significant correlations for asymmetry (stance/swing phase, both affected side and unaffected side), double support (affected and unaffected side), gait cycle time (affected and unaffected side), and cadence.
Table 4 shows that three values of DE were taken prior to PS as well as prior to extubation; among these, it was observed that the third value recorded prior to PS,1.61±0.35, was strongly significant with a P value <0.001,followed by the first value recorded prior to PS, 1.68±0.41, which was considered moderately significant with a P value of 0.018.
Similarly, there was a highly significant negative relationship between relative humidity and canopy height ( F 1,5 > 16.3, p < 0.01, R 2 > 0.80) at all times of day expect at 3am ( F 1,5 = 15.1, p = 0.012, R 2 = 0.75) and 6am ( F 1,5 = 12.0, p = 0.018, R 2 = 0.71), for which there were moderately significant negative relationships.
These visualizations highlight the pH's crucial role in boosting the adsorption efficiency, with dosage being moderately significant, aiding in defining ideal operational parameters for effective PMCC water treatment. 86 Fig. 13(c) illustrates three plot analyses: 3D surface, 2D contour, and desirability, showing the influence of pH ( A ) and contact time ( B ) on the adsorption capacity ( q e ) of CIP on PMCC.
For geographic factors, we observe that, compared with hospitals located in rural areas, hospitals located in urban areas are less likely to receive a reward; compared with hospitals located in the New England area, hospitals located in the Mid-Atlantic and West South Central areas show a significantly lower likelihood of receiving a reward; hospitals located in the East South Central area show a moderately significant less likelihood of receiving a reward, while hospitals located in other areas do not show a significant difference.
Measuring the State Dependence Effect in Hospital Payment Adjustment.
Int J Environ Res Public Health · 2022 · PMC9655927