[R-meta] Tau2 estimate problem
    Mutlu Umaroglu 
    mut|u@um@rog|u @end|ng |rom h@cettepe@edu@tr
       
    Thu Oct 10 14:29:12 CEST 2019
    
    
  
Dear All,
I generated random data for meta analysis with user-defined effect size 
and tau2 (eg. es=1, T^2=0.3). After generating random data, I perform a 
meta-analysis. However, the results (for tau2) are different from 
user-defined tau2. I need some technical assistance to fix code.
Regards,
Mutlu
rowMeans(es2)		#1
[1] 0.9941907 0.9941133
> rowMeans(tu2)		#0.3
[1] 0.08509195 0.08346508
----
library(metafor)
library(Sim.PLFN)
set.seed(9999)
sml.nr=1000		#1000 simulation
study.nr=10		#with 10 studies in meta analysis
eff.size=1		#Effect size for meta analysis
t2=.3			#Tau2 for meta analysis
es2<-NULL
tu2<-NULL
for (i in 1:sml.nr){
   s2=Trunc(n=study.nr, T.dist="chisq", T.dist.par=1, L=0.36, R=2.4)/4
   y1=c(rnorm(study.nr, mean = eff.size, sd = t2+s2))
   metadata<-data.frame(y1,s2)
	DLmet<-rma(y1,s2,data=metadata,method="DL")
	REMLmet<-rma(y1,s2,data=metadata,method="REML")
	EffectSize= c(DLmet$b,REMLmet$b)
         es2 = cbind(es2, EffectSize)
	taau2= c(DLmet$tau2,REMLmet$tau2)
	tu2 = cbind(tu2, taau2)
}
    
    
More information about the R-sig-meta-analysis
mailing list