<html><head></head><body><div style="font-family: Verdana;font-size: 12.0px;"><div>Dear Philippe,</div>
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<div>this might be of interest for you: https://journals.sagepub.com/doi/10.1177/0962280218773520 </div>
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<div>Regards,</div>
<div> </div>
<div>Tobias </div>
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<div style="margin:0 0 10px 0;"><b>Gesendet:</b> Montag, 27. September 2021 um 10:34 Uhr<br/>
<b>Von:</b> "Philippe Tadger" <philippetadger@gmail.com><br/>
<b>An:</b> "r-sig-meta-analysis@r-project.org" <r-sig-meta-analysis@r-project.org><br/>
<b>Betreff:</b> [R-meta] Predictive interval in MA with less than 10 studies</div>
<div name="quoted-content">Dear R-sig-MA community<br/>
<br/>
According to Cochrane manual: it's recommended to not trust in the PI<br/>
when there are fewer than 10 studies because such calculation relies on<br/>
the assumption of normality. Is there a way to check formally on each<br/>
case when using less than 10 studies is not safe for PI calculation?. I<br/>
can understand this limitation when the PI is calculated through a<br/>
method that uses the methods of moments (or exact calculations like<br/>
Riley 2001), but when the PI comes from a model that uses ML/REML (or<br/>
iterative methods with identifiable likelihood) or Bayesian, such<br/>
concern cannot exist. I would like to find confirmation or refutation of<br/>
this idea.<br/>
<br/>
<br/>
In advance, your time and shared wisdom are appreciated.<br/>
--<br/>
Kind regards/Saludos cordiales<br/>
*Philippe Tadger*<br/>
ORCID <<a href="https://orcid.org/0000-0002-1453-4105" target="_blank">https://orcid.org/0000-0002-1453-4105</a>>, Reseach Gate<br/>
<<a href="https://www.researchgate.net/profile/Philippe-Tadger" target="_blank">https://www.researchgate.net/profile/Philippe-Tadger</a>><br/>
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