[R-meta] lmer, SAS and rma.mv

[Martineau, Roger]

Dear list members,

There are some discrepancies between summary estimates obtained from lmer (or SAS) and rma.mv as explained in http://www.metafor-project.org/doku.php/tips:rma_vs_lm_lme_lmer.

My dataset includes treatment means (and corresponding SE) from several publications (PubID).

I conducted a simple meta-analysis using the rma.mv function (res1):

Dataset <- within(Dataset, {
               INV         <- 1/SE^2
               ID            <- 1:nrow(Dataset)
})

(res1 <- rma.mv(y ~ x1, SE^2, data= Dataset,
                        random = ~1|PubID/ID))

Can someone correct the following lmer and SAS scripts in order to get the results as in res1?

lmer(y ~ x1 + (1|PubID), data=Dataset, weights = INV, na.action = "na.omit")

proc mixed data=Dataset covtest;;
  class PubID;
 weight INV;
  model y=x1 / s ddfm=sattehwaite;
  random PubID;
  ods output;
proc print;
run;

Thanks in advance,

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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