“likely to be significant”

P values identified CodY as ontology term more likely to be significant among genes with higher transcript levels at 15 min ( P = 1.28*10 −35 ), 30 min ( P = 1.17*10 −45 ) and 18 h ( P = 0.0000802).

Its best alignment to the predicted site had eight strong matches (Figure 3G ), which is likely to be significant ( P = 0.00098).

We found that both tests were more likely to be significant colocalisations if they were from the same cell type compared to different cell types (odds ratio = 1.2, p = 0.004).

This is likely due to the fact that longer series are more likely to be significant at the level of P < 1% for the same rate of change because of a greater number of observations.

Outcomes that were promoted in the review were more likely to be significant than if there was no discrepancy (relative risk 1.66 95% CI (1.10, 2.49), p = 0.02).

When stratifying, based on the procedure that was undertaken, differences were also significant for all treatments ( p -value < 0.01) except for endodontics, where differences were likely to be significant ( p -value = 0.02).

However, as this value is likely to be significant ( p < 0.05) for large sample sizes, it is suggested that other fit indices should be evaluated.

Results Univariate logistic regression analysis revealed normal alpha fetoprotein (AFP), elevated carbohydrate antigen 19-9 (CA19-9) level, elevated carcinoma embryonic antigen (CEA) level, central hyperintensity on T2-weighted imaging (T2WI), central hypointensity on T2WI, and targetoid sign on hepatobiliary phase (HBP) and targetoid restriction on diffusion-weighted imaging (DWI) were more likely to be significant predictors favoring mass-forming ICCs (all P values <0.05).

These findings suggest that although we were not sufficiently powered to distinguish any individual SNPs as likely to be significant beyond a Bonferroni correction, on the other hand the fact that 18 SNPs showed a value of p<0.05 when only 4 would be expected by chance suggests that there may be some genuine differences in frequency within the group of SNPs.

Seven neighborhood clusters are more likely to be significant potential clusters for hospital readmissions ( p < .05), while six neighborhood clusters are less likely to be significant potential clusters.

We also report normal theory χ2 though with large samples these figures are likely to be significant at p < 0.05 even when other fit indices are suggesting reasonable fit.

28 Regarding the selection of confounding factors for multiple logistic regression analysis, we incorporated several important factors that were likely to be significant ( p < 0.10) on previous studies, avoiding multicollinearity: gender, age, recommended admission, receiving a scholarship, parents being medical professionals, an absence of concerns in their school life, not having someone to talk to about one's problems, and belonging to an athletic club.

For multiple logistic analyses, we incorporated several important factors that were likely to be significant (p<0.1) and likely to win or lose the case, avoiding multicollinearity.

For multiple logistic analysis, we incorporated several important factors that were likely to be significant (at P < 0.1) and that avoided multicollinearity, as follows: elderly patients (> 65 years old), visit to the health care facility after 24 h, presence of fever, absence of abdominal tenderness, elevated CRP (above 10 mg/L), night shift, first visit to a teaching hospital, unavailability of urgent radiology reports, first visit to the clinic, and examination by a non-generalist.

Although it is not possible to quantify the exact degree to which response diversity to weather conditions affects the pollination service of buckwheat, its contribution is likely to be significant because the contributions of large and small insects to seed set were nearly equivalent, as evaluated by the bagging field experiment.

Furthermore, this study focused on dengue, but there is likely to be significant overlap in the experiences and requirements of individuals who undertake surveillance of other arboviruses and other infectious disease more generally.

This is likely to be significant given that the MDRD and CKD-EPI equations were derived and validated using US cohorts. 6 , 55 , 58 , 59 The more recent CKD-EPI-2021 (race-free) equation, which was developed to reduce the gap between Black and White ethnic groups in the USA had minimal South Asian representation and therefore was unlikely to address eGFR performance in South Asian cohorts.

If this brings to light any differences likely to be significant the next step will be to look for similar differences between the differently reacting skins of young New Buffalo and CBA mice.

However, this is not to discount the contribution of non-biological factors to the increased risk of TB disease in human males, which is likely to be significant.

As a result, the authors concluded that these anatomical variations are less likely to be significant risk factors in the etiopathogenesis of chronic rhinosinusitis.[ 13 14 15 ] Some anatomical variants are surgically dangerous and can predispose the neurovascular structures related to the paranasal sinuses such as optic nerve and the internal carotid artery to a fatal injury during endoscopic sinus surgery.[ 8 ] Therefore, understanding these anatomical variations is vital in planning for endoscopic sinus and endoscopic skull base surgeries.

These factors were more likely to be significant across countries than the key community variables (except postnatal care, which had a lower frequency of significance for DTP1 than urban slum and remoteness), similar to findings reported in previous studies [ 14 , 15 ].

This decrease is likely to be significant because the parent strain is already iron-limited.

Given this approach, dominance analyses do not rely on traditional p -value statistics to determine dominance as some variables are likely to be significant in some subset models, but not others [ 74 ].

Second, there is likely to be significant referral bias because only those patients considered eligible for ITx (relatively young patients with no other known comorbidities) would be considered for this pathway.

Within studies, there were also likely to be significant individual patient differences and there may be an assumption that the cancer is causing weight loss, reduced function and loss of lean mass when it is possible that it may be multifactorial.