metaSEM

My clustered several variables into a model. this set below is one of them
Overall, 6 clusters including the data set below are created.

I chose 3 level meta analysis cause level 3 is proven to be preffered according to anova() comparison.
However, Tau2_2 in the data is extremely low almost 0 with 3 decimal. this is the same for all other clusters.
and the overall model.

My question is that is there any constraint that works? or is it possible outcome?

Call:
meta3(y = fisherz, v = v, cluster = id, x = cbind("dis", "review"),

For example ,

I would like to integrate all significant variables into one model to see if tau index is significantly decreased.

But I realized that , from the example from Cheung;
" http://courses.nus.edu.sg/course/psycwlm/internet/metaSEM/index.html"

I would like to put all predictors "Year, Discpline, Country.." into one model as final.

I realized that 'cbind()' function is limited to variable like "Discipline".
If i try to add "Year" to the equation, a error message appears.

Dear Dr mike :
I have a question about MASEM. My example is to study the effect of social support on depression.I found four variables : subject support (zz), objective support (kz) , the using of support (zl), depression (yy). Among these , zz, kz, zl were loaded under a higher-order factor ,called "Alpha", that represents social support. The following is my R code :

a<-c(1,0.428,0.41,-0.327,0.428,1,0.292,-0.199,0.41,0.292,1,-0.198,-0.327,-0.199,-0.198,1)
m1<-matrix(a,nrow=4,ncol=4,dimnames=list(rowname,colname))
rowname=c("zz","kz","zl","yy")
rowname

Dear Mike,

I am attempting to use your R package metaSEM but I came across some problems when I running summary( meta3(y=y, v=v, cluster=District, data=Cooper03) ) in "metaSEM" website. R version that I use is 2.15.3.

Error:
summary( meta3(y=y, v=v, cluster=District, data=Cooper03) )
Running Meta analysis with ML
错误于sort.int(x, na.last = na.last, decreasing = decreasing, ...) :
'x' must be atomic
此外: 警告信息：
In mean.default(x, na.rm = TRUE) :
argument is not numeric or logical: returning NA

meta3(y=y, v=v, cluster=District, data=Cooper03)
Running Meta analysis with ML

Dear all,

I recently started exploring the metaSEM package and worked my way through some of the examples found online.

However, I am new to R, OpenMx, and metaSEM and have some difficulty with importing my own data.

I would like to import a number of correlation matrices, corresponding sample sizes, and clusters, but I don't know how to structure the input.

Is it possible to input the data using a csv file? If so, how should the file be structured? If not, what is the best way to input a large number of correlation matrices?

Hi! I'm really new to OpenMx. Can someone tell me how to install "metaSEM" via OpenMx?

Thanks,
Rommel

Hi metaSEM users,

As I have posted previously in this forum, I am using metaSEM to conduct a network meta-analysis. I have been attempting to fit a metaSEM model using both ML and REML estimation using some sample data from a meta-analysis of the effectiveness of diabetes interventions. I was able to successfully conduct the analysis using ML estimation, but for some reason when I attempt to obtain a fit using the reml() function, I obtain the following error:

Running Variance component with REML
Error in running the mxModel:

Hello Forum Members,

I have run into another point of confusion in my inaugural use of the MetaSEM package for a MASEM project. I posted one brief question a few months ago and received an excellent and helpful answer. I'm hoping again to benefit from the forum's deeper experience using the MetaSEM package.

Hi Everyone,
I keep enjoying using metaSEM. Right now, I'm using meta3 to conduct a meta-analysis where the studies are grouped by country. I would like to get a meta-analytic estimate of the mean for each country. In HLM, I would ask for the Level-3 residuals and combine that with the Intercept to get the meta-analytic mean for each country.

Is it possible to do this with metaSEM? If not, is there any chance this could be added as a feature in future updates!

Cheers,
David

Hi metaSEM users,

I'm currently trying to use metaSEM to implement a network meta-analysis (i.e., a meta-analysis of different treatment comparisons; see Salanti, 2012). One important aspect of multivariate implementations of network meta-analysis is that the between-studies takes on a particular structure (see Lu & Ades, 2004). For example, given AB, AC, and AD, one common way to constrain the matrix is to do the following (basically, set the correlation between any two treatment comparisons equal to .5):

AB AC AD