[R-meta] How to Get PIs for Moderator Analyses
Hi Wolfgang, Thank you for clarifying! I apologize for the misunderstanding. I'm trying to use the newmods argument just now but am still confused. I tried entering the moderator name which did not work. I also checked the website <https://wviechtb.github.io/metafor/reference/predict.rma.html>, but I don't see a way to get the PIs for the output of the moderator models (see attached). What exactly do I specify in the 'newmods' argument? Thanks, Tori On Fri, Jun 23, 2023 at 7:53?AM Viechtbauer, Wolfgang (NP) <
wolfgang.viechtbauer at maastrichtuniversity.nl> wrote:
Dear Tori, The profile() function is not for getting PIs. You are misunderstanding what Michael was suggesting -- he was suggesting to use profile() to check if the variance components are identifiable by examining the profile likelihood plots. And predict() works just fine for getting PIs. Like I wrote, you have to use the 'newmods' argument in predict() to specify for which combination of moderator values you want to obtain a predicted effects (and the corresponding CI and PI). Best, Wolfgang
-----Original Message----- From: R-sig-meta-analysis [mailto:
r-sig-meta-analysis-bounces at r-project.org] On
Behalf Of Tori Pe?a via R-sig-meta-analysis Sent: Thursday, 22 June, 2023 19:37 To: R Special Interest Group for Meta-Analysis Cc: Tori Pe?a Subject: Re: [R-meta] How to Get PIs for Moderator Analyses Thanks, all! Unfortunately, the profile() function did not yield PIs for our moderator analyses. Are there other ways to get the PIs for rma.mv models since predict() and profile() are not working? On Thu, Jun 15, 2023 at 12:18?PM Michael Dewey via R-sig-meta-analysis < r-sig-meta-analysis at r-project.org> wrote:
Dear Tori Just to clarify the reasoning behind my comments I was concerned that your data may not be adequate to fit the model since you seemed to have very small random variances and little effect from the moderators. Michael On 14/06/2023 10:22, Viechtbauer, Wolfgang (NP) via R-sig-meta-analysis wrote:
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.
Best, Wolfgang
-----Original Message----- From: R-sig-meta-analysis [mailto:
r-sig-meta-analysis-bounces at r-project.org] On
Behalf Of Tori Pe?a via R-sig-meta-analysis Sent: Tuesday, 13 June, 2023 19:51 To: Michael Dewey Cc: Tori Pe?a; R Special Interest Group for Meta-Analysis Subject: Re: [R-meta] How to Get PIs for Moderator Analyses Hi Michael, 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 at dewey.myzen.co.uk>
wrote:
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. Michael On 06/06/2023 16:59, Tori Pe?a 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 Pe?a, 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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