<p>Note that the number of studies can vary per repetition because the simulation was terminated when 40 publications were done under the Selective Publication Approach. Only studies having more than 4,500 out of 5,000 <i>E<sub>meta</sub></i> values available are shown (i.e., study numbers 3–585). The means and standard deviations are calculated across the repetitions of the simulation.</p
The accuracy and precision of the estimation of population effect size was evaluated using standardi...
Abstract Background Meta-analysis of continuous outcomes traditionally uses mean difference (MD) or ...
Methods for random-effects meta-analysis require an estimate of the between-study variance, $\tau^2$...
<p>The black lines represent the situation where <i>E<sub>obs</sub></i> is tested with respect to 0....
<p>The means and standard deviations are calculated across the 5,000 repetitions of the simulation.<...
<p>Mean (solid lines) and mean plus/minus one meta-analytic standard error (dashed lines) of estimat...
The true between-study standard deviation τ increased from 0 (panels a and b) to 1 (panel c). The nu...
BACKGROUND: Meta-analysis of continuous outcomes traditionally uses mean difference (MD) or standard...
When meta-analysing intervention effects calculated from continuous outcomes, meta-analysts often en...
Meta-analysis is a statistical method of public health relevance that is used to combine the results...
AIMS: The study of foundational features of meta-analysis is incomplete and continues to remain impo...
With the growing popularity of meta-analytic techniques to analyze and synthesize results across set...
For each sample size range on the horizontal axis, the left gray box was obtained using Cohen’s d, a...
This paper investigates the impact of the number of studies on meta-analysis and meta-regression wit...
In meta-analysis, dependent effect sizes are very common. An example is where in one or more studies...
The accuracy and precision of the estimation of population effect size was evaluated using standardi...
Abstract Background Meta-analysis of continuous outcomes traditionally uses mean difference (MD) or ...
Methods for random-effects meta-analysis require an estimate of the between-study variance, $\tau^2$...
<p>The black lines represent the situation where <i>E<sub>obs</sub></i> is tested with respect to 0....
<p>The means and standard deviations are calculated across the 5,000 repetitions of the simulation.<...
<p>Mean (solid lines) and mean plus/minus one meta-analytic standard error (dashed lines) of estimat...
The true between-study standard deviation τ increased from 0 (panels a and b) to 1 (panel c). The nu...
BACKGROUND: Meta-analysis of continuous outcomes traditionally uses mean difference (MD) or standard...
When meta-analysing intervention effects calculated from continuous outcomes, meta-analysts often en...
Meta-analysis is a statistical method of public health relevance that is used to combine the results...
AIMS: The study of foundational features of meta-analysis is incomplete and continues to remain impo...
With the growing popularity of meta-analytic techniques to analyze and synthesize results across set...
For each sample size range on the horizontal axis, the left gray box was obtained using Cohen’s d, a...
This paper investigates the impact of the number of studies on meta-analysis and meta-regression wit...
In meta-analysis, dependent effect sizes are very common. An example is where in one or more studies...
The accuracy and precision of the estimation of population effect size was evaluated using standardi...
Abstract Background Meta-analysis of continuous outcomes traditionally uses mean difference (MD) or ...
Methods for random-effects meta-analysis require an estimate of the between-study variance, $\tau^2$...