<html><head></head><body><div style="font-family: Verdana;font-size: 12.0px;"><div>Dear Gerta,</div>
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<div>thank you for taking the time to answer me. This is great!</div>
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<div>Regards,</div>
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<div>Tobias</div>
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<div style="margin:0 0 10px 0;"><b>Gesendet:</b> Sonntag, 06. Juni 2021 um 10:38 Uhr<br/>
<b>Von:</b> "Dr. Gerta Rücker" <ruecker@imbi.uni-freiburg.de><br/>
<b>An:</b> "Tobias Saueressig" <t.saueressig@gmx.de>, "Meta list" <r-sig-meta-analysis@r-project.org><br/>
<b>Betreff:</b> Re: [R-meta] Mega-Analysis of study means</div>
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<p>Dear Tobias,</p>
<p>Yes. Like in meta-analysis of proportions (e.g., prevalences) or rates (e.g., incidences), heterogeneity will probably be larger than for comparative meta-analysis, which may make interpretation more difficult.</p>
<p>The function for meta-analysis of means in R package meta is metamean(). I would also present a prediction interval (prediction = TRUE).</p>
<p>Best,</p>
<p>Gerta</p>
<div class="moz-cite-prefix">Am 06.06.2021 um 09:41 schrieb Tobias Saueressig:</div>
<blockquote>Dear All,<br/>
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I wish you all a good day. I have question concerning the meta-analysis of study means. E.g. I have several studies that report one (!) mean and SD (e.g. duration in s). Is it permissable to meta-analyze these means with the generic inverse variance method and a random effects model?<br/>
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Regards<br/>
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Tobias<br/>
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--<br/>
Diese Nachricht wurde von meinem Android Mobiltelefon mit GMX Mail gesendet.
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