Sentence examples for by any individual study from inspiring English sources

Exact(3)

Moreover, the combined ORs of the hOGG1 Ser326Cys polymorphism were not influenced by any individual study.

The meta-analysis was not dominated by any individual study, while removing any study at a time made no difference (data not shown).

To evaluate whether the observed results were unduly influenced by any individual study and to determine if there was any publication bias, an influence plot and a funnel plot, respectively, were used.

Similar(57)

The positive association was not materially changed upon the exclusions, with a pooled OR range from 1.75 (95% CI, 1.47 to 2.07; P = 0.001) to 1.87 95% CI, 1.58 to 2.20; P = 0.001), which indicates that the overall result was not significantly influenced by any individual studies.

This was further supported by the consistency of the overall meta-analysis results—which were minimally affected by results of any individual study—as determined by sensitivity analysis.

For nonhuman mammalian studies, point estimates were generally consistent with overlapping confidence bounds, and meta-analysis results were consistent in the direction of effect estimates and minimally affected by the results of any individual study, as determined by sensitivity analysis.

However, heterogeneity could not be fully removed by the exclusion of any individual study.

Although there was some evidence of heterogeneity across the studies (P = 0.197), a sensitivity analysis indicated that the results were not affected by sequential exclusion of any individual study from the pooled analysis.

We also conducted sensitivity analyses to determine the influence of any individual study by excluding each study one by one and recalculating the pooled effect.

With the many errors and biases that can blight any individual study, replication by others can ensure that the original findings are robust and can also provide a more accurate estimate of the likely effect size[39], [40].

25 With the many errors and biases that can blight any individual study, replication by others can ensure that the original findings are robust and can also provide a more accurate estimate of the likely effect size.

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