#' Calculate Marginal Summary Stats
#'
#' Calculate the marginal event rates and summary stats starting from stratified
#' event counts.
#'
#' @param y0 Events per category in arm 0.
#' @param n0 Subjects per category in arm 0.
#' @param y1 Events per category in arm 1.
#' @param n1 Subjects per category in arm 1.
#' @param weights Stratum mixing weights.
#' @param alpha Type I error.
#' @return List containing two data.frames,
#' \itemize{
#' \item 'Rates', data.frame of marginal rates.
#' \item 'Stats', data.frame of marginal contrasts.
#' }
CalcMargStats <- function(y0, n0, y1, n1, weights = NULL, alpha = 0.05) {
# Marginal rates.
marg <- MargRate(y0, n0, y1, n1, weights)
rates <- data.frame(
"Arm" = c(0, 1),
"N" = c(sum(n0), sum(n1)),
"Rates" = c(marg$p0, marg$p1)
)
# Risk difference.
rd <- RiskDiff(y0, n0, y1, n1, weights, alpha)
# Risk ratio.
rr <- RiskRatio(y0, n0, y1, n1, weights, alpha)
# Odds ratio.
or <- OddsRatio(y0, n0, y1, n1, weights, alpha)
# Output.
out <- list()
out$Rates <- rates
out$Stats <- rbind(rd, rr, or)
return(out)
}
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