t; res <- rma(HR, vi=SE^2, data=a, method="REML", slab=paste(a$study),
> digits=3)
>
> Best,
> Wolfgang
>
> -Original Message-
> From: greg holly [mailto:mak.hho...@gmail.com]
> Sent: Monday, 25 February, 2019 21:20
> To: Viechtbauer, Wolfgang (SP)
> Sub
ata=a, method="REML", slab=paste(a$study), digits=3)
Best,
Wolfgang
-Original Message-
From: greg holly [mailto:mak.hho...@gmail.com]
Sent: Monday, 25 February, 2019 21:20
To: Viechtbauer, Wolfgang (SP)
Subject: Re: [R] differences between meat and metafor packages
Hi Wolfg
y, 25 February, 2019 18:40
To: r-help mailing list
Subject: [R] differences between meat and metafor packages
Hi all;
I have got different results (CI and Q value for heterogeneity, tau) on the
same data when I run meta and metafor for hazard ratio with a random
effects model. The basic programs f
Hi all;
I have got different results (CI and Q value for heterogeneity, tau) on the
same data when I run meta and metafor for hazard ratio with a random
effects model. The basic programs for both are given below. What can cause?
Regards,
Greg
Metafor
res <- rma(HR, SE, data=a)
predict(res, tran
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