[R-meta] robust function equivalency in SAS?

[Martineau, Roger]

Dear list members,

I have this 3-level meta-regression model:

(res1  <- rma.mv(MTPY, SEM^2, data=Dataset,
                       mods = ~
                         MP,
                       random = ~1|experiment/study/line,
                       method = "REML", digits=4))
robust(res1, cluster= Dataset $experiment)

Dr. Viechtbauer showed us how to convert a 2-level model from rma.mv into SAS:

https://stat.ethz.ch/pipermail/r-sig-meta-analysis/2018-April/000761.html

Is there a SAS equivalency to compute the robust function to obtain SE and P-values ?

Best regards,

Roger ☺

Roger Martineau, mv Ph.D.
Centre de recherche et de développement
sur le bovin laitier et le porc
Agriculture et agroalimentaire Canada/Agriculture and Agri-Food Canada
Téléphone/Telephone: 819-780-7319
Télécopieur/Facsimile: 819-564-5507
2000, Rue Collège / 2000, College Street
Sherbrooke (Québec)  J1M 0C8
Canada
roger.martineau at agr.gc.ca<mailto:roger.martineau at agr.gc.ca>



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