Sentence examples for with high standard errors from inspiring English sources

We attempted to exclude regions of inhomogeneity from the images by rejecting fits with high standard errors of the regression.

Publication bias was suspected if relatively few studies with high standard errors and odds ratios close to one were identified[ 48].

For example, in some subsets (e.g. sanitation), including more than one predictor in the model led to unstable parameter estimates with high standard errors, therefore, only one predictor from the subset could be offered to the comprehensive model.

The coefficients of type II functional divergence θ between EXPA/EXPB and EXPB/EXLB were not that evident, with θII values smaller than 0 being obtained, but with high standard errors.

The computed uncertainties in the system salinities seem to be larger with higher standard errors (S.E).

When only looking at Austria, we observe a much stronger correlation but with higher standard error especially for ingredients (Spearman's ρ = − 0.74, standard error SE ρ = 0.16 and confidence interval CI at 95% is (−0.9242, −0.2340) for recipes and Spearman's ρ = − 0.21, SE ρ = 0.31 and CI at 95% is (−0.7505, 0.4891) for ingredients).

Under these "non-linear conditions", an observed phase shift perturbation results in a proportionally larger change in pH, and data are therefore afflicted with higher standard error.

Volumetric analysis of autophagy by point counting electron microscopic morphometry works with rather high standard errors [ 10– 18], and sometimes only relatively big changes can be found statistically significant.

Although comparing variance components and thus heritabilities is fraught with issues because of high standard errors, examination of Table 3 shows that the proportion of variation accounted for by the additive genomic relationship matrix is low relative to the entry-mean broad-sense heritability in most cases.

Studies with large intervention effects gave low p values despite their high standard errors, and studies with p < 0.05 were more likely to be published.

Since we are dealing with very small samples, and therefore the high standard errors of our estimates could make more difficult to get useful information from the comparison, we are going to use bootstrapping to get the values for our estimates and their standard errors.