[R-meta] How to Get PIs for Moderator Analyses
Viechtbauer, Wolfgang (NP)
wo||g@ng@v|echtb@uer @end|ng |rom m@@@tr|chtun|ver@|ty@n|
Wed Jun 14 11:22:17 CEST 2023
Michael means using the profile() function.
This aside, if you use predict(<model>), then it will compute predicted/fitted values based on the model matrix (and corresponding CIs/PIs). If you want predicted values for particular combinations of moderator values, then you have to specify the 'newmods' argument.
>From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces using r-project.org] On
>Behalf Of Tori Peña via R-sig-meta-analysis
>Sent: Tuesday, 13 June, 2023 19:51
>To: Michael Dewey
>Cc: Tori Peña; R Special Interest Group for Meta-Analysis
>Subject: Re: [R-meta] How to Get PIs for Moderator Analyses
>Thanks for your response! What do you mean by profiling the variance?
>Yes, some of my moderators had virtually no effect in our models. I have
>the issue with the PI being displayed for each data point in the model
>instead of the PI for the model across all the moderators, unfortunately.
>On Tue, Jun 6, 2023 at 12:20 PM Michael Dewey <lists using dewey.myzen.co.uk>
>> Dear Tori
>> It might help to know exactly why you think the ouput is incorrect but I
>> notice that (a) your random effects seem to have very small variances
>> (have you tried profiling them?) (b) your moderator does not seem to
>> have much effect either.
>> On 06/06/2023 16:59, Tori Peña via R-sig-meta-analysis wrote:
>> > Hello Listserv -
>> > I wanted to know if folks know of a way to get prediction intervals for
>> > moderator analyses! I tried the predict() function but the output looks
>> > incorrect. I attached a screenshot below of the code plus a part of the
>> > output.
>> > Thanks in advance!
>> > --
>> > *Tori Peña, Ph.D. *(she/her/ella)
>> > Cognitive Psychology
>> > Dept. of Psychology
>> > Stony Brook University
>> > Stony Brook, NY 11790-2500
>> > Stony Brook University logo
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