Dear All; I sincerely apologize for TYPOS. My question is that:
Does anyone know any R library that runs meta-analysis differently for Sensitivity and Specificity if I have only the following info in my data set? Once again my apologies for the mistake in my earlier email. Regards, Greg specificity sample_size Sensitivity Sample_size 1 21 0.66 57 1 70 0.55 33 1 19 0.76 17 1 10 0.4 30 1 16 0.46 11 On Fri, Dec 7, 2018 at 6:16 AM Viechtbauer, Wolfgang (SP) < wolfgang.viechtba...@maastrichtuniversity.nl> wrote: > Dear Greg, > > I am not sure if I understand your question. If you are asking how to do > this in R, then one could use the metafor or meta package for this. The > specificity and sensitivity values are proportions, so one would usually > meta-analyze them after a logit transformation. But all of the specificity > values are equal to 1, so this is pretty pointless. For sensitivity: > > dat <- data.frame(pi = c(.66, .55, .76, .40, .46), ni = c(57, 33, 17, 30, > 11)) > dat$xi <- round(dat$pi * dat$ni) > > library(metafor) > > dat <- escalc(measure="PLO", xi=xi, ni=ni, data=dat) > res <- rma(yi, vi, data=dat) > res > predict(res, transf=transf.ilogit) > > One could also use a logistic mixed-effects model for this: > > res <- rma.glmm(measure="PLO", xi=xi, ni=ni, data=dat) > res > predict(res, transf=transf.ilogit) > > If you want to analyze the specificity and sensitivity together, then you > would want to use a bivariate model. There are some specific packages for > this. See the Meta-Analysis Task View ( > https://cran.r-project.org/web/views/MetaAnalysis.html). I just saw that > Michael also replied with the same suggestion (and the note about the > mailing list). > > Best, > Wolfgang > > >-----Original Message----- > >From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of greg > >holly > >Sent: Thursday, 06 December, 2018 22:38 > >To: r-help mailing list > >Subject: [R] meta analysis for sensitivity and specificity > > > >Does anyone know any R library that runs meta-analysis in SAS differently > >for Sensitivity and Specificity if I have only the following info? > > > >Regards, > > > >Greg > > > >specificity sample_size Sensitivity Sample_size > >1 21 0.66 57 > >1 70 0.55 33 > >1 19 0.76 17 > >1 10 0.4 30 > >1 16 0.46 11 > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.