Barely Significant
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“likely to be significant”

1,825 sentences · 1,825 papers · 19,184 search hits before verification · confirmed specimen

Sighted at

p=0.054

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

In the literature

Politics Finally, there is likely to be significant political push back about mandate-driven efforts to address health inequity, in particular from conservative and libertarian groups committed to the use of market principles.
The health equity mandate.
J Law Biosci · 2022 · PMC8760927
Here, participants highlighted variations in school contexts as likely to be significant in multiple ways to the delivery of a WSA, suggesting that these be captured in reviewing existing practice and mapping needs to understand more about existing activities and school populations.
genetics GWAS human multi‐omics sample size transcriptomics National Institute on Alcohol Abuse and Alcoholism 10.13039/100000027 R21AA027827 National Institute on Drug Abuse 10.13039/100000026 DA54750 K02DA32573 R01DA054750 R01DA054869 R33DA047527 T32DA007261 U01DA055367 For gene prioritization (i.e., genes that are proximal to GWAS significant loci in the smaller GWAS; Figure 2 ), genes that were identified both by proximity to a genome‐wide significant locus and by multi‐omics were more likely to be significant in the larger GWAS than genes only identified by a genome‐wide significant locus (Figure 2A ).
We have provided a new R package, interactionFPIR, to estimate the values of M and N , and suggest using FPIR whenever the interaction term is likely to be significant. • Introduced fractional-power interaction regression (FPIR) as Y ~ β 0 + β 1 X 1 + β 2 X 2 + β 3 X 1 M X 2 N + ɛ to replace the current regression model Y ~ β 0 + β 1 X 1 + β 2 X 2 + β 3 X 1 X 2 + ɛ; • Clarified the rationale of FPIR, and compared it with regular regression model, polynomial regression, generalized additive model, and random forest using regression models for 4692 species; • Provided an R package, interactionFPIR, to calculate the values of M and N , and other model parameters.
48 For Hong Kong, the actual impact from spatial variation is likely minimal given the geographical compactness of this city (1106 km 2 , the fourth most densely populated area in the world) and its efficient transport network. However, temporal variation is likely to be significant given the recent advances in communication technology and the high saturation of smartphone usage in Hong Kong.