\description{results from 18 studies comparing the risk of catheter-related bloodstream infection when using anti-infective-treated versus standard catheters for total parenteral nutrition or chemotherapy.}
\bold{study}   \tab \code{numeric}   \tab study number \cr
\bold{authors} \tab \code{character} \tab study authors \cr
\bold{x1i}     \tab \code{numeric}   \tab number of crbsis in patients receiving an anti-infective catheter \cr
\bold{t1i}     \tab \code{numeric}   \tab total number of catheter days for patients receiving an anti-infective catheter \cr
\bold{x2i}     \tab \code{numeric}   \tab number of crbsis in patients receiving a standard catheter \cr
\bold{t2i}     \tab \code{numeric}   \tab total number of catheter days for patients receiving a standard catheter
the use of a central venous catheter may lead to a catheter-related bloodstream infection (crbsi), which in turn increases the risk of morbidity and mortality. anti-infective-treated catheters have been developed that are meant to reduce the risk of crbsis. niel-weise et al. (2008) conducted a meta-analysis of studies comparing infection risk when using anti-infective-treated versus standard catheters for total parenteral nutrition or chemotherapy. the results from 9 such studies are included in this dataset.
the dataset was used in the article by stijnen et al. (2010) to illustrate various generalized linear mixed-effects models for the meta-analysis of incidence rates and incidence rate ratios (see \squote{references}).
niel-weise, b. s., stijnen, t., & van den broek, p. j. (2008). anti-infective-treated central venous catheters for total parenteral nutrition or chemotherapy: a systematic review. \emph{journal of hospital infection}, \bold{69}(2), 114--123. \verb{https://doi.org/10.1016/j.jhin.2008.02.020}
res <- rma(measure="irr", x1i=x1i, t1i=t1i, x2i=x2i, t2i=t2i, data=dat)
### random-effects conditional poisson model
res <- rma.glmm(measure="irr", x1i=x1i, t1i=t1i, x2i=x2i, t2i=t2i, data=dat, model="cm.el")
medicine, incidence rates, generalized linear models