#' Cost-effectiveness Statistics
#'
#' For a scenario the population model with active TB cases.
#'
#' @param scenario_dat list
#' @param interv_QALY list of \code{scenario_QALY()} output
#' @param interv_cost list of \code{scenario_cost()} output
#' @param pop_year integer
#'
#' @return list
#' \itemize{
#' \item QALY.statusquo
#' \item QALY.screened
#' \item E_cost_screened: mean average
#' \item cost.screened_person
#' \item cost.statusquo_person
#' \item cost_incur
#' \item cost.statusquo
#' \item cost.screened
#' \item E_QALY_screened: mean average
#' \item QALY.screened_person
#' \item QALY.statusquo_person
#' \item QALYgain
#' \item cost_incur_person
#' \item E_cost_incur: mean average
#' \item E_cost_incur_person: mean average
#' \item QALYgain_person
#' \item E_QALYgain: mean average
#' \item E_QALYgain_person: mean average
#' }
#'
#' @export
#'
#' @examples
#'
costeff_stats <- function(scenario_dat,
interv_QALY,
interv_cost,
pop_year) {
interv_cost_vs <-
interv_cost %>%
purrr::transpose() %>%
simplify_all()
interv_QALY_vs <-
interv_QALY %>%
purrr::transpose() %>%
simplify_all()
res <-
list(
#########
# costs #
#########
QALY.statusquo = interv_QALY_vs$statusquo,
QALY.screened = interv_QALY_vs$screened,
E_cost_screened = mean(interv_cost_vs$screened),
cost.screened_person = interv_cost_vs$screened/pop_year,
cost.statusquo_person = interv_cost_vs$statusquo/pop_year,
cost_incur = interv_cost_vs$screened - interv_cost_vs$statusquo,
#########
# QALYs #
#########
cost.statusquo = interv_cost_vs$statusquo,
cost.screened = interv_cost_vs$screened,
E_QALY_screened = mean(interv_QALY_vs$screened),
QALY.screened_person = interv_QALY_vs$screened/pop_year,
QALY.statusquo_person = interv_QALY_vs$statusquo/pop_year,
QALYgain = interv_QALY_vs$screened - interv_QALY_vs$statusquo) %>%
update_list(
cost_incur_person = ~cost_incur/pop_year,
E_cost_incur = ~mean(cost_incur),
E_cost_incur_person = ~mean(cost_incur/pop_year),
QALYgain_person = ~QALYgain/pop_year,
E_QALYgain = ~mean(QALYgain),
E_QALYgain_person = ~mean(QALYgain/pop_year))
return(res)
}
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