Message-ID: <SY7P282MB378767B668E26E7499544668A93E9@SY7P282MB3787.AUSP282.PROD.OUTLOOK.COM>
Date: 2022-02-25T13:15:13Z
From: Brendan Hutchinson
Subject: [R-meta] (no subject)
Dear mailing list,
I have a couple of minor questions regarding methods for assessing publication bias while accounting for dependency.
To my understanding, there is no means of running a publication bias analysis, such as trim and fill, with a multilevel meta-analytic model in R (or a model in which dependency issues need be accounted for). I am aware that one can use a regression method, such as regressing the standard error onto the summary estimate, within a multi-level model (this is fairly straightforward using rma.mv(), for example). However, what about methods for assessing the robustness of findings, if publication bias is a concern (such as trim and fill), while also accounting for dependency?
The best I have found is a recent package "PublicationBias" by Mathur and VanderWeele (10.1111/rssc.12440).
I am wondering if anyone has any recommendations for particular methods, R packages, or readings?
Thanks so much!
Brendan
[[alternative HTML version deleted]]