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        <dc:date>2026-06-18T11:00:34+00:00</dc:date>
        <dc:creator>Wolfgang Viechtbauer (wviechtb@undisclosed.example.com)</dc:creator>
        <title>Forest Plot with Grouped Estimates - created</title>
        <link>https://metafor-project.org/doku.php/plots:forest_plot_with_grouped_estimates?rev=1781780434</link>
        <description>Forest Plot with Grouped Estimates

Description

When dealing with large meta-analytic datasets where studies may contribute multiple effect size estimates to the same analysis, standard forest plots can become excessively large (or the size of the elements in the plot become very small). One possible solution to this problem is to group the estimates from the same study together, omitting the text annotations (i.e., the estimate and corresponding confidence interval bounds) for the individual e…</description>
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        <dc:date>2026-04-27T09:14:20+00:00</dc:date>
        <dc:creator>Wolfgang Viechtbauer (wviechtb@undisclosed.example.com)</dc:creator>
        <title>Package News</title>
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        <description>Package News



2026-06-18: Forest Plot with Grouped Estimates

When dealing with large meta-analytic datasets where studies may contribute multiple effect size estimates to the same analysis, standard forest plots can become excessively large (or the size of the elements in the plot become very small). One possible solution to this problem is to group the estimates from the same study together, omitting the text annotations (i.e., the estimate and corresponding confidence interval bounds) for t…</description>
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        <dc:date>2026-04-27T08:30:41+00:00</dc:date>
        <dc:creator>Wolfgang Viechtbauer (wviechtb@undisclosed.example.com)</dc:creator>
        <title>Package News for 2025 - created</title>
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        <description>Package News for 2025



2025-09-20: 20,000+ Citations for the JSS Paper

In 2010, I published a paper about the metafor package in the Journal of Statistical Software (Viechtbauer, 2010). I have been fortunate enough that users of the package have been quite diligent in citing the package in their papers. Today another milestone was reached, with the paper being cited $R^2$</description>
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        <dc:date>2026-04-27T08:20:40+00:00</dc:date>
        <dc:creator>Wolfgang Viechtbauer (wviechtb@undisclosed.example.com)</dc:creator>
        <title>The 'Random-Effects Mantel-Haenszel Method' in Cochrane Reviews - created</title>
        <link>https://metafor-project.org/doku.php/tips:random_effects_mh_method?rev=1777278040</link>
        <description>The 'Random-Effects Mantel-Haenszel Method' in Cochrane Reviews

The Mantel-Haenszel method is an approach for fitting meta-analytic equal-effects models when dealing with studies providing data in the form of 2x2 tables or in the form of event counts (i.e., person-time data) for two groups (Mantel &amp; Haenszel, 1959). The method is particularly advantageous when aggregating a large number of studies with small sample sizes (the so-called sparse data or increasing strata case).$\tau^2$$\tau^2$$$\h…</description>
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