“could be considered significant”

Thus, a correlation above r = 0.14 could be considered significant ( P = 0).

Of those, 149,773 could be considered significant at P < 2e−10.

Indeed, 299 sites could be considered significant ( P < 1.33 × 10 −4 , Bonferroni correction).

There was no significant correlation between the age and the measured urinary parameters among silica-exposed workers. Work duration in addition to the urinary Si level could be considered significant (p<0.001) predictors for the elevated urinary parameters among silica-exposed workers.

To tell a methodology story, we tentatively set the threshold as p = 0.001, and the metabolite marker could be considered significant if - log 10 ( p ) ≥ 3.0 .

By simulating all possible combinations of scores across the 5 (penetrations) × 16 (electrode contacts) recording grid and assuming the null hypothesis that any differences arise by chance, we found that a score of ≥2, or ≤−2, could be considered significant at p < 0.005.

At the same time, it was established that only 20 out of 42 proteins could be considered significant (with P < .01) for distinguishing groups with antenatal pathologies (CRDM, CNSD, and HPMG) from groups of T2DM patients who gave birth to healthy newborns and the control group.

Using a single-voxel threshold of p = 0.005, a cluster connection radius of 5.1 mm, and Gaussian smoothing at 6 mm, it was calculated that activation clusters exceeding 17 contiguous voxels (in original space) could be considered significant at a corrected cluster-wise threshold of p < 0.01.

An ALP reduction to the normal range after chemotherapy could be considered significant (LR univariate analysis P = 0.0480).

The result showed that SCC and KA could be considered significant risk factors for nonoperative treatment failure in patients with TLICS 4 thoracolumbar fracture ( p < 0.05).

The critical value represents the t value at which a difference could be considered significant given the smallest sample of adults ( n = 20 for studies 1 and 3; t(18) = 2.08, p = 0.05).

However, when evaluating PPP and PMH ( Table 10 ), only differences in PPP could be considered significant and with p < 0.1.

Although, no T3 of any dietary pattern significantly was associated with a higher OR for serum phosphorus level > 1.78 mmol/l ( p > 0.05), still a non-significant trend ( p = 0.067) was observed with the SSB DP (OR = 1.64; 95% CI 0.97, 2.79), which could be considered significant for p value < 0.10.

In the present study, the p value was less than 0.05 at 4 h and without the alpha value correction this could be considered significant.

Among them, p values of 28 CpG sites in 12 loci (14 genes) exceed 1 × 10 −5 ( figure 1 ) and 10 of them could be considered significant ( P SMR < 5.67 × 10 −7 , Bonferroni correction).

The results showed that only IPD (odds ratio [OR], 1.504; 95% confidence interval [95% CI], 1.099–2.058; P = 0.011 < 0.05) and VAS score (OR, 2.981; 95% CI, 1.103–8.059; P = 0.031 < 0.05) could be considered significant risk factors for failure of nonoperative treatment, necessitating a close follow-up after conservative treatment is decided.

DEmiRNA analysis between Cancer versus Healthy was not performed because, in this setting, the markers that show changes only in Healthy and not in Cancer could be considered significant.

However, taking into consideration the period of a year of study, and after the data analysis, this sample could be considered significant, because of the number of patients, the number of beds in the ICU, and the number of prescriptions analyzed.

The present study determined that a mediation effect could be considered significant if the sample size was 5000 and the 95% confidence interval did not include zero.

The value of p <0.05 designated an outcome that could be considered significant.

But, less than half of these ‘misses’ could be considered significant according to the E -value, using a quite loose threshold of 1 (that is, less than one alignment with the same score could be expected by chance).

We used a two-sample permutation test for differences in proportions to analyze if differences in EIHE values could be considered significant ( Fig.

The trend was sustained when the groups were analysed individually but did not reach a level that could be considered significant.

The results of one-way analysis of variance (ANOVA) for the dependent variables were utilised for the selection of the model which could be considered significant for the response variables. 3.

However, our preliminary data could be considered significant as a basis for future wider population analyses.