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Exact(12)
We planned to use the mean difference (MD) with corresponding 95% confidence interval (CI) to summarise trial findings and report the treatment effect if the outcomes were measured the same way between trials.
For continuous outcomes, we will use the mean difference as the effect size.
We will use the mean difference with 95% CIs for continuous outcomes.
For continuous data, we will use the mean difference (MD) with 95% CIs to measure the treatment effect.
For the continuous data, we will use the mean difference (MD) with 95% CIs to measure the treatment effect.
Another way might be to use the mean difference and calculate the 95% limits of agreement as Altman describes [ 22].
Similar(48)
Further, Hedges' g effect sizes (ES) for each outcome were calculated using the mean difference divided by weighted and pooled standard deviation (Hedges 1981).
In analyzing continuous outcomes with both fixed-effect and with random-effects models, we used the mean difference (MD) with a 95% confidence interval.
Instead, the authors should have used the mean difference.
We analysed continuous data using the mean difference (MD) with 95% confidence intervals (CIs).
Potential cost-savings were calculated from the actual and anticipated morbidity rates using the mean difference in total costs.
More suggestions(15)
use the mean function
use the hemispheric difference
use the mean age
use the mean reversion
use the mean outcome
use the sexual difference
use the mean nickname
use the implicit difference
use the mean scanning
use the supplementary difference
use the mean mortality
use the mean rate
use the original difference
use the mean reservoir
use the mean statistic
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