search for: knha

Dear Metafor users, I'm conducting a metaanalysis of prevalence of a particular behaviour based on someone elses' code. I've been labouring under the impression that this: summary(rma.1<-rma(yi,vi,mods=cbind(approxmeanage,interviewmethodcode),data=mal,method="DL",knha=F,weighted=F,intercept=T)) is doing the multivariate analysis that i want, but have read that multivariate analysis can't be done in metafor. this is the output: Mixed-Effects Model (k = 22; tau^2 estimator: DL) logLik Deviance AIC BIC 18.7726 -37.5452 -27.5452 -22.0899 tau^2 (estimate of...

...LL, data=dm, intercept=TRUE, slab=c(dm$Article, dm$StudyNo), subset=NULL, measure="ZCOR", add=1/2, to="only0", vtype="LS", method="DL", weighted=TRUE, level=95, digits=4, btt=NULL, tau2=NULL, knha=FALSE, control=list()) With PosOutc being the column containing the raw correlations and N being the column with the sample sizes. I assume that this will imply that a) although the 'tau2' value is set to NULL, still a random-effects analysis is calculated b) the raw correlation...

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