search for: bcg

Dear R-experts, The forest.rma() function from the metafor package creates nice forest plots for presenting the results of a meta-analysis. These plots can be annotated for e.g. giving names to the columns. E.g. as in the documentation of the package: data(dat.bcg) ### meta-analysis of the log relative risks using a random-effects model res <- rma(ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg, measure="RR", slab=paste(author, year, sep=", "), method="REML") forest(res, slab=paste(dat.bcg$author, dat...

R-experts: In 2002, Hans Van Houwelingen et al. published a tutorial on how to do meta-regression in Statistics in Medicine. They used the classic BCG dataset of Colditz to demonstrate correct methodology and computed the results using PROC MIXED in SAS. In trying to duplicate the results presented in this paper, I have discovered that I can reproduce certain items with lmer but not others. I was hoping that someone might point out how...

Dear R User, Please, I am new to R. I want to overlay density plot for predictive interval pooled result in meta-analysis. http://addictedtor.free.fr/graphiques/graphcode.php?graph=114 Regards Frank Peter

Dear All, As an attempt to highlight the overall pattern in a Forest plot, I would like to "highlight" the area around HR=1. I cannot find any simple tools for painting a grey ribbon between 0.9 and 1.1. Any suggestions? Thank you in advance! Cheers, Patrik [[alternative HTML version deleted]]

Hello, Is it possible to have two meta-plots in one graph (not par(mfrow=c(2,1))? But somthing like  library(metafor)  library("igraph")    if (interactive()) {     forest(dat.Treat$RR, ci.lb=dat.Treat$lower, ci.ub=dat.Treat$upper, xlab="Relative Risk",slab=dat.Treat$ID,refline=1)     forest(dat.Control$RR, ci.lb=dat.Control$lower, ci.ub=dat.Control$upper, xlab="Relative

Dear R-community, I'm currently trying to assemble a forest plot using the "forest" function from package "metaphor". Works well. Even the regular "main"-argument works for adding a title to the graph. However, I would like to add one top row which explains the nature of the columns. Very much like the usual header in spreadsheet programs. For example:

Dear R-experts! In a meta-analysis (metafor) I would like to assess the effect of two categorical covariates (A & B) whereas they both have 4 levels. Is my understanding correct that this would require to dummy-code (0,1) each level of each covariate (A & B)? However I am interested in the main-effects and the interaction of these two covariates and the dummy-coding would only allow to

Dear R-experts! I am working on some meta-analysis using the metafor package. I would like to extract values of the confidence intervals of the effect sizes of the single studies from an rma object. Those values are printed out when plotting a forest plot using the forest function on the rma object, however I was not able to locate them. Many thanks for your help! Jokel [[alternative HTML

Hi I have tryed to do the meta-regression in metafor package, but I would like to get the standardized coefficients for each variable, however in command:   Ø  res<-rma.uni (yi, vi, method="REML", mods=~cota+DL+uso+gadiente+idade, data= turbidez)   I just have the coefficients no standardized (estimate) of the multiple regression. What I need to do? Thanks Fernanda Melo

Hello metafor users, I'm using metafor to perform a single-effect summary estimate of the raw proportion of patients experiencing a post-operative complication, and I'm interested in seeing if this proportion differs between the three most commonly used surgical techniques. The software is working as expected, but I would like to double check on the interpretation of my mixed-effect model

I am using metafor to create forest plots. This code gives me the expected plot (setting x axis tick marks): forest(forest$OR, ci.lb=forest$Low, ci.ub=forest$High, at=log(c(.05, .25, 1, 10)), slab=forest$SNP, atransf=exp) As does this (setting colors): forest(forest$OR, ci.lb=forest$Low, ci.ub=forest$High, col=c(1,2,3), slab=forest$SNP, atransf=exp) But if I try to set both 'at' and

...s. Wine is available thanks to the work of many people. See the file AUTHORS in the distribution for the complete list. ---------------------------------------------------------------- Bugs fixed in 1.7.4 (total 32): 2195 WSALookupServiceBegin and WSALookupServiceNext Unimplemented 16935 BCG Slider thumb doesnt display correctly 19200 Neverwinter Nights 2 crashes 21808 URU Complete Chronicles: Black Screen Freeze upon UruExplorer.exe launch 22865 Split Second foggy, doesn't show most of scene 23566 Arcanum crash after start. 23839 Neverwinter Nights 2 can't detec...

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...omplete list. ---------------------------------------------------------------- Bugs fixed in 3.3 (total 35): 7284 Max Payne 2 light reflections on people are too bright and blocky 9914 Implement a Kerberos provider for SSPI 10347 Action Replay Code Manager crashes on start up 14336 BCG tooltips don't display correctly (Foxit PDF Reader) 19508 Multiple games fail to start after CreateDCW(DIB or DIRDIB) error (Cosmology of Kyoto, Secret of the Luxor, Pingu, Pettson and Findus, many Klik & Play games) 32186 Multiple kernel drivers crash on unimplemented function ntoskr...

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r-help Forum Has anyone worked with puling ACLED (https://acleddata.com/#/dashboard) via the ACLED API and R? Jeff Reichman [[alternative HTML version deleted]]

R-Help Community How do I add a numeric class to a data .frame. For example, I have calculated the following probabilities 1 2 3 0.0011566127 0.0009267028 0.0081623324 How would I add them back into my data.frame for example My_df <- data.frame(col_1 = c('A', 'B', 'C')) such that I end up with col_1

R Help Trying to figure out how to create a simple program that will as the user from a value input and simply add 5 units to that value then ask the user for another value and add 45 units to it and on and on. Then how does one exit the loop of program? # Create a function called `add_five` add_five <- function(x) { # Add 5 to the input value x + 5 } readline(prompt =

R Help I have a data.frame where I've broken out the year <dbl> and an ordered month <ord> values. But I need to recombine them so I can graph mon-year in order but when I recombine I lose the month order and the results are plotted alphabetical. Year month mon_year <dbl> <ord> 2021 Mar Mar-2021 2021 Jan

r-help Forum I'm using the dplyr:: summarize_all(funs(sum)) function and am receiving a warning message that the `funs()` is deprecated as of dplyr 0.8.0. Ok what should I be using to summarize all columns by sum? Jeff [[alternative HTML version deleted]]