<html><head></head><body><div style="font-family: Verdana;font-size: 12.0px;"><div>Hello James,</div>
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<div>thank you. It worked. In cases were there was only a single study it gave alot of NaNs. But I have the CIs from the analysis with the intercept in it. </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. September 2020 um 16:53 Uhr<br/>
<b>Von:</b> "James Pustejovsky" <jepusto@gmail.com><br/>
<b>An:</b> "Tobias Saueressig" <t.saueressig@gmx.de><br/>
<b>Cc:</b> "r-sig-meta-analysisr-project.org" <r-sig-meta-analysis@r-project.org><br/>
<b>Betreff:</b> Re: [R-meta] Computing treatment effects with 95%CI from a meta-regression output</div>
<div name="quoted-content">The easiest thing to do is probably to simply recalculate the model after omitting the intercept term:<br/>
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robu(formula = es ~ 0 + Time, data = SMD,studynum = study, var.eff.size = var,rho = .8, small = TRUE, modelweights = "CORR")<br/>
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Sent from my iPhone<br/>
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> On Sep 6, 2020, at 7:25 AM, Tobias Saueressig <t.saueressig@gmx.de> wrote:<br/>
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> robu(formula = es ~ 1 + Time, data = SMD,studynum = study, var.eff.size = var,rho = .8, small = TRUE, modelweights = "CORR")</div>
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