Sentence examples for a final effect size from inspiring English sources

These will be pooled to calculate a final effect size.

The final effect size measure, d, included a correction for reliability (d = ES/√2 1- r)) where r is the correlation between the scores at Year 1 and Year 2. The interpretation for d utilized the following scheme proposed by Cohen [ 24]: <0.20 = trivial change; 0.20 to 0.50 = small change; 0.50 to 0.80 = moderate change; ≥0.80 = large change.

As a result, trim and fill analysis was done to adjust the final effect size.

Our large sample size and final effect size suggests, however, that the differences detected here were real.

It might overestimate the final effect size.

We use the delta method (Powell 2007) in the R package msm to combine multiple standard errors and construct 95%% CIs around our final effect size estimates.

As the results of the test suggested possible existence of significant publication bias (p=0.01 in Egger's test), the final effect size was determined by applying trim and fill analysis in the random-effects model.

The final effect sizes were influenced by multiple factors such as sample size, medication course, publication year, and even different forms of Chinese medicine.

After trim and fill in the Random-effects model, the final pooled effect size was 0.71 (95% CI: 0.54, 0.87) with p<0.001.

Based on the random effects model, the final pooled effect size in the form of relative risk was 0.71 (95% CI: 0.54, 0.87) for health facility delivery as compared to home delivery.

When data were presented separately for different subgroups of patients, we computed a combined effect size for final analysis.