The true between-study standard deviation τ was 0 (i.e., the simulated studies were homogeneous). The number of studies in each meta-analysis N increased from 5 (upper panels) to 50 (lower panels). The true risk difference θ (horizontal dotted line) increased from 0 (left panels) to 0.2 (right panels).</p
<p>The p-value is a likelihood ratio p-value and thus identical for both comparison measures. The nu...
Background: A diverse range of study designs (e.g. case-control or cohort) are used in the evaluatio...
Methods for random-effects meta-analysis require an estimate of the between-study variance, $\tau^2$...
The true between-study standard deviation τ was 0 (i.e., the simulated studies were homogeneous). Th...
The true between-study standard deviation τ increased from 0 (panels a and b) to 1 (panel c). The nu...
For each sample size range on the horizontal axis, the left gray box was obtained using Cohen’s d, a...
The true between-study standard deviation τ increased from 0 (upper and middle panels) to 0.5 (lower...
The difference between two proportions, referred to as a risk difference, is a useful measure of eff...
Five procedures for estimating a common risk difference in a set of independent 2 × 2 tables were as...
<p>The black lines represent the situation where <i>E<sub>obs</sub></i> is tested with respect to 0....
<p>The horizontal line at zero indicates perfect agreement between assumed and observed variance. Me...
<p>Results of meta-analysis are shown in bottom row of each exposure group, denoted pictorially by t...
<p>Note that the number of studies can vary per repetition because the simulation was terminated whe...
With the growing popularity of meta-analytic techniques to analyze and synthesize results across set...
<p>The vertical line represents the meta-analysis summary estimate, and the scatter represents singl...
<p>The p-value is a likelihood ratio p-value and thus identical for both comparison measures. The nu...
Background: A diverse range of study designs (e.g. case-control or cohort) are used in the evaluatio...
Methods for random-effects meta-analysis require an estimate of the between-study variance, $\tau^2$...
The true between-study standard deviation τ was 0 (i.e., the simulated studies were homogeneous). Th...
The true between-study standard deviation τ increased from 0 (panels a and b) to 1 (panel c). The nu...
For each sample size range on the horizontal axis, the left gray box was obtained using Cohen’s d, a...
The true between-study standard deviation τ increased from 0 (upper and middle panels) to 0.5 (lower...
The difference between two proportions, referred to as a risk difference, is a useful measure of eff...
Five procedures for estimating a common risk difference in a set of independent 2 × 2 tables were as...
<p>The black lines represent the situation where <i>E<sub>obs</sub></i> is tested with respect to 0....
<p>The horizontal line at zero indicates perfect agreement between assumed and observed variance. Me...
<p>Results of meta-analysis are shown in bottom row of each exposure group, denoted pictorially by t...
<p>Note that the number of studies can vary per repetition because the simulation was terminated whe...
With the growing popularity of meta-analytic techniques to analyze and synthesize results across set...
<p>The vertical line represents the meta-analysis summary estimate, and the scatter represents singl...
<p>The p-value is a likelihood ratio p-value and thus identical for both comparison measures. The nu...
Background: A diverse range of study designs (e.g. case-control or cohort) are used in the evaluatio...
Methods for random-effects meta-analysis require an estimate of the between-study variance, $\tau^2$...
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