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#' Example of 50 variables from different studies for categorical (cat_all_fn) analysis
#'
#' Sample from Sato/Iwamoto dataset of 31 studies with categorical data
#'
#' @format A data frame with 106 rows and 14 variables:
#' \describe{
#' \item{study}{study ID}
#' \item{var}{variable}
#' \item{level}{level of variable}
#' \item{recode}{value to recode level two if collapsing variable to two levels}
#' \item{levels_no}{total number of levels for each variable}
#' \item{group}{number of trial arms}
#' \item{n1, n2, n3}{number of participants with characteristic in each group}
#' \item{N1, N2, N3}{number of participants in each group}
#' \item{p}{reported p-value}
#' \item{stat}{reported statistical test used to calculate p-value}
#' }
"SI_cat_all"
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