Barely Significant
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“a numerical trend”

1,013 sentences · 1,013 papers · 1,817 search hits before verification · confirmed specimen

Sighted at

p=0.09

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

In the literature

21 However, the REALISTIC study showed similar improvements in DAS28(CRP) and ACR20, 50 and 70 responses when patients were stratified by prior anti-TNF use; although a numerical trend for higher response rates was observed in anti-TNF-naïve patients. 22 Similarly, the results from the South Swedish Arthritis Treatment Group Register showed that first-time anti-TNF switchers had similar response rates to anti-TNF-naïve patients. 23 Patient-reported outcomes showed CZP treatment improved symptoms such as fatigue and arthritis associated pain through Week 104.
The two-way interaction of MC and S-R compatibility was non-significant too, F (1, 39) = 3.128, p = .085, η 2 p = .074, with only a numerical trend for a larger effect of S-R compatibility in the modality-incompatible condition (94 ms) than in the modality-compatible condition (73 ms). 2 Bayesian analysis The follow-up Bayesian repeated-measures ANOVA yielded, for RT, moderate evidence for H 0 concerning both the interaction of MC and S-R compatibility (BF 10 = 0.23) as well as concerning the three-way interaction of MC, S-R compatibility, and switching (BF 10 = 0.25).
Although we found little evidence to support that the major cannabinoids CBD and CBDA were enhanced by administrated as full spectrum products, there appears to be a numerical trend over 7 days on full spectrum CBDA absorption, therefore the “entourage effect” is not likely to be related to the major cannabinoid absorption, but rather to the minor components found in full spectrum products.
A subgroup analysis across five dosing regimens (3 mg to 45 mg) suggested a trend toward differential effects across doses ( P = 0.44, I 2 = 0%) (Figure S12 ), Although a numerical trend toward greater VLDL cholesterol reduction with higher doses was observed, the absence of statistical significance suggests that a clear dose-response relationship could not be established within the range of doses evaluated.
In terms of tumor response, T-DXd showed a numerical trend toward being the top-ranked intervention (SUCRA: ORR 0.819; DCR 0.803; CBR 0.833) and demonstrated statistically significant improvements compared to TPC in both DCR (RR =0.32; 95% CI: 0.11–0.88) and CBR (RR =3.60; 95% CI: 1.06–12.60); while T-DXd also numerically outperformed SG in ORR, DCR, and CBR, these pairwise differences were not statistically significant ( Figure 6 and Table 2 ).