search for: metabin

I cannot seem to get a L'abbe plot to work on R. I do not understand what the X coordinates, or alternatively an object of class metabin, is supposed to mean. What is a class of metabin? Institute of Behavioral Genetics University of Colorado, Boulder Whitney.Melroy at Colorado.EDU

...(function used internally) - hypergeometric (function used internally) - is.installed.metafor (function used internally) - kentau (function used internally) - linregcore (function used internally) - p2logit (function used internally) Functions metabin, metacont, metacor, metagen, metaprop: - new arguments: - hakn (Hartung-Knapp method) - method.tau (estimation method for tau-squared) - tau.preset (fixed value for tau) - TE.tau (prespecified treatment effect to estimate tau) - method.bias (test for funnel plot asymmetry used...

...(function used internally) - hypergeometric (function used internally) - is.installed.metafor (function used internally) - kentau (function used internally) - linregcore (function used internally) - p2logit (function used internally) Functions metabin, metacont, metacor, metagen, metaprop: - new arguments: - hakn (Hartung-Knapp method) - method.tau (estimation method for tau-squared) - tau.preset (fixed value for tau) - TE.tau (prespecified treatment effect to estimate tau) - method.bias (test for funnel plot asymmetry used...

Hi All, I have conducted a meta analysis using the metabin function. I want to plot 5 subgroups on the same forest plot. I have managed to do this using the byvar argument but when i plot the forest plot in R graphics I am unable to view the very top and very bottom of the image. It is as though the plot is too long. Is there a way in which I can ask R to...

...ers: http://www.duke.edu/~bi6 I start by loading the data into R. ----- bcg <- read.csv('bcg.csv') bcg.long <- read.csv('bcg-long.csv') bcg$study <- paste(bcg$author, bcg$year) ----- I then perform standard meta-analysis using two different R functions: (1) the metabin function (meta package) to pool odds ratios with standard inverse variance techniques using the "wide" bcg dataset and (2) the lmer function (lme4 package) to perform a multilevel meta- analysis using the "long" dataset. The only reason that the lmer function is possible...

Hi, ? Is there some easy way to split the grid.newpage() into two columns? For example, how could I put the two forest plots below (meta1 and meta2) next to each other? library(meta) data(Olkin95) meta1 <- metabin(event.e, n.e, event.c, n.c,data=Olkin95, subset=c(41,47,51,59),sm="RR", meth="I",studlab=author) meta2=meta1 meta2$studlab=rep("",length(meta1$studlab) ) #deleting the labels for the second plot grid.newpage() forest(meta1, comb.fixed=F, comb.random=F, rightcols=&quot...

Hi All, I have run a series of random effects meta regressions on binomial outcomes using the metabin function in R. Now I would like to conduct some random effects meta regressions on the outcomes. Is there a command available which will allow for me to test the impact of a certain variable on the relative treatment effect from my meta regressions? Many Thanks, Steph -- View this message in cont...

...c(4,7,6,5,12)) colnames(mydata.forest.DoseRed)=c("n.DR","n.No.DR", "E.DR","E.No.DR") rownames(mydata.forest.DoseRed)=c( "Age: 50-59", "Age: 60-69 ", "Age: >70", "Sex: F ", "Sex: M") mydata.meta.DoseRed = metabin( E.DR, n.DR, E.No.DR, n.No.DR, data=mydata.forest.DoseRed, sm="RR", meth="MH", studlab=rownames(mydata.forest.DoseRed) ) forest( mydata.meta.DoseRed, comb.fixed=TRUE,...

Dear R users: In the example of meta-analysis (cochrane, package rmeta), I can not found the p-value of Test for overall effect, and some other indices (Z, I, weight and et al). How can I get the these indices listed? > library(rmeta) > data(cochrane) > cochrane name ev.trt n.trt ev.ctrl n.ctrl 1 Auckland 36 532 60 538 2 Block 1 69 5