Sentence examples for index of effect from inspiring English sources

Exact(10)

We chose R2 as the index of effect sizes for regression analyses and computed the 90% confidence interval for each R2 (Smithson, 2001).

Many handbooks on how to do meta-analysis focus on the most widely used index of effect size the standardized mean difference d, the difference between means divided by the standard deviation.

Area under the curve (AUC), an index of effect size, was the primary result of the ROC analysis.

In addition to reporting probability values, an index of effect size was reported to reflect the magnitude of the observed effect.

Cohen's d value is reported as an index of effect size (small, d = 0.2; medium, d = 0.5; or large, d > 0.8) [ 11].

All results are reported using the 5th to 95th percentile pollutant concentrations as an index of effect size on a clean day versus a polluted day.

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Similar(50)

However, others have pointed out that d and r are not necessarily the most appropriate indices of effect size, that selection of an effect size index has to consider limitations and assumptions of using each specific index, and that mindless use of d or r may lead to substantial inferential errors [43].

In order to address these deficiencies, research and methods development are needed on: indices for particulate exposures; identification of exposures relevant to the effects; improved indices of effects; acquisition of response data; identification of exposed populations; and identification of susceptible subgroups.

The results suggest that (1) whether subjects can sleep within 1 h after they start to try to sleep is a good index of the effect of noise on sleep and that LAeqis a good index of the effect of noise on sleep except for the sounds which have meanings such as songs and people's talk.

The percentage of cells activity was regarded as the index of the effect of on cell viability, which depended on measuring the cell survival rate relative to that of the control.

The preferred index of treatment effect in evidence-based medicine is the number needed to treat (NNT), while the most common one in the medical literature is Cohen's d when the outcome is continuous.

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