[R-meta] Plotting the correlation among true/random effects across categories
Viechtbauer, Wolfgang (NP)
wo||g@ng@v|echtb@uer @end|ng |rom m@@@tr|chtun|ver@|ty@n|
Mon Jun 26 18:08:23 CEST 2023
They can be useful for various things:
1) for diagnostic purposes (e.g., assessing normality assumptions),
2) they can provide an estimate of the treatment effect in particular studies (that not only takes the observed effect from the study into consideration, but borrows information from the other studies),
3) there might be circumstances where one uses the BLUPs as predictors for other things (in a two-stage type of analysis).
>From: Yuhang Hu [mailto:yh342 using nau.edu]
>Sent: Saturday, 24 June, 2023 9:05
>To: Viechtbauer, Wolfgang (NP)
>Cc: R Special Interest Group for Meta-Analysis
>Subject: Re: [R-meta] Plotting the correlation among true/random effects across
>Just curious, if not useful for variance and correlation estimation, then I
>wonder when and how BLUPs are needed in practice?
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