Yes, the 'traditional' Egger test is a weighted regression of the effect size estimates against their standard errors with weights s2/vi, where s2 is a multiplicative dispersion parameter. This is what you will get with:
regtest(x, model="lm", predictor="sei") where 'x' is an object returned by the rma() function from a fixed/random-effects model. An example: ### load BCG vaccine data data(dat.bcg) ### calculate log relative risks and corresponding sampling variances dat <- escalc(measure="RR", ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg) ### random-effects model res <- rma(yi, vi, data=dat) ### classical Egger test regtest(res, model="lm", predictor="sei") Best, Wolfgang -- Wolfgang Viechtbauer, Ph.D., Statistician Department of Psychiatry and Psychology School for Mental Health and Neuroscience Faculty of Health, Medicine, and Life Sciences Maastricht University, P.O. Box 616 (VIJV1) 6200 MD Maastricht, The Netherlands +31 (43) 388-4170 | http://www.wvbauer.com > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] > On Behalf Of Sultan Malik > Sent: Monday, May 12, 2014 20:03 > To: r-help@r-project.org > Subject: [R] Help conduction Egger's test > > Hi, > > I am currently conducting a meta analyses and wish to carry out Egger's > test. I was just wondering, does the weighted linear regression model > proposed by Egger et al correspond to the "weighted regression with > multiplicative dispersion" option in Metafor? > > Many thanks > > Sultan > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting- > guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
