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#' Internal Function to create 'default' formula
#'
#' @keywords internal
create.default.covariates <- function(params) {
timeVarying <- NULL
timeVarying_bas <- NULL
fixed <- NULL
trial <- NULL
tx_bas <- paste0(params@treatment, params@indicator.baseline)
dose <- paste0("dose", c("", params@indicator.squared), collapse = "+")
interaction <- paste0(tx_bas, "*", "followup")
interaction.dose <- paste0("followup*", c("dose", "dose_sq"), collapse = "+")
if (params@hazard) interaction <- interaction.dose <- NULL
if (length(params@time_varying) > 0) {
timeVarying <- paste0(params@time_varying, collapse = "+")
timeVarying_bas <- paste0(params@time_varying, params@indicator.baseline, collapse = "+")
}
if (length(params@fixed) > 0) {
if (!is.na(params@subgroup)) fixed <- params@fixed[!params@subgroup %in% params@fixed] else fixed <- params@fixed
fixed <- if(length(fixed) > 0) paste0(fixed, collapse = "+") else NULL
}
if (params@trial.include) trial <- paste0("trial", c("", params@indicator.squared), collapse = "+")
if (params@followup.include) followup <- paste0("followup", c("", params@indicator.squared)) else if (params@followup.spline | params@followup.class) followup <- "followup"
if (params@method == "ITT") {
out <- paste0(c(tx_bas, followup, trial, fixed, timeVarying_bas, interaction), collapse = "+")
return(out)
}
if (params@weighted) {
if (params@weight.preexpansion) {
if (params@method == "dose-response") out <- paste0(c(dose, followup, trial, fixed, interaction.dose), collapse = "+")
if (params@method == "censoring" & !params@excused) out <- paste0(c(tx_bas, followup, trial, fixed, interaction), collapse = "+")
if (params@method == "censoring" & params@excused) out <- paste0(c(tx_bas, followup, trial, interaction), collapse = "+")
} else if (!params@weight.preexpansion) {
if (params@method == "dose-response") out <- paste0(c(dose, followup, trial, fixed, timeVarying_bas, interaction.dose), collapse = "+")
if (params@method == "censoring" & !params@excused) out <- paste0(c(tx_bas, followup, trial, fixed, timeVarying_bas, interaction), collapse = "+")
if (params@method == "censoring" & params@excused) out <- paste0(c(tx_bas, followup, trial, fixed, timeVarying_bas, interaction), collapse = "+")
}
return(out)
} else {
if (params@method == "dose-response") out <- paste0(c(dose, followup, trial, fixed, timeVarying_bas, interaction.dose), collapse = "+")
if (params@method == "censoring" & !params@excused) out <- paste0(c(tx_bas, followup, trial, fixed, timeVarying_bas, interaction), collapse = "+")
if (params@method == "censoring" & params@excused) out <- paste0(c(tx_bas, followup, trial, fixed, timeVarying_bas, interaction), collapse = "+")
return(out)
}
}
#' Internal Function to create 'default' weighting formula
#'
#' @keywords internal
create.default.weight.covariates <- function(params, type) {
timeVarying <- NULL
timeVarying_bas <- NULL
fixed <- NULL
trial <- paste0("trial", c("", params@indicator.squared), collapse = "+")
followup <- paste0("followup", c("", params@indicator.squared), collapse = "+")
time <- paste0(params@time, c("", params@indicator.squared), collapse = "+")
if (length(params@time_varying) > 0) {
timeVarying <- paste0(params@time_varying, collapse = "+")
timeVarying_bas <- paste0(params@time_varying, params@indicator.baseline, collapse = "+")
}
if (length(params@fixed) > 0) {
fixed <- paste0(params@fixed, collapse = "+")
}
if (type == "numerator") {
if (params@weight.preexpansion) {
if (params@method == "dose-response") out <- paste0(c(fixed, time), collapse = "+")
if (params@method == "censoring" & !params@excused) out <- paste0(c(fixed, time), collapse = "+")
if (params@method == "censoring" & params@excused) out <- NA_character_
} else if (!params@weight.preexpansion) {
if (params@method == "dose-response") out <- paste0(c(fixed, timeVarying_bas, followup, trial), collapse = "+")
if (params@method == "censoring" & !params@excused) out <- paste0(c(fixed, timeVarying_bas, followup, trial), collapse = "+")
if (params@method == "censoring" & params@excused) out <- paste0(c(fixed, timeVarying_bas, followup, trial), collapse = "+")
}
} else if (type == "denominator") {
if (params@weight.preexpansion) {
if (params@method == "dose-response") out <- paste0(c(fixed, timeVarying, time), collapse = "+")
if (params@method == "censoring" & !params@excused) out <- paste0(c(fixed, timeVarying, time), collapse = "+")
if (params@method == "censoring" & params@excused) out <- paste0(c(fixed, timeVarying, time), collapse = "+")
} else if (!params@weight.preexpansion) {
if (params@method == "dose-response") out <- paste0(c(fixed, timeVarying, timeVarying_bas, followup, trial), collapse = "+")
if (params@method == "censoring" & !params@excused) out <- paste0(c(fixed, timeVarying, timeVarying_bas, followup, trial), collapse = "+")
if (params@method == "censoring" & params@excused) out <- paste0(c(fixed, timeVarying, timeVarying_bas, followup, trial), collapse = "+")
}
}
return(out)
}
#' Internal Function to create 'default' loss-to-followup formula
#'
#' @keywords internal
create.default.LTFU.covariates <- function(params, type){
timeVarying <- NULL
timeVarying_bas <- NULL
fixed <- NULL
trial <- NULL
followup <- NULL
time <- paste0(params@time, c("", params@indicator.squared), collapse = "+")
if (length(params@time_varying) > 0) {
timeVarying <- paste0(params@time_varying, collapse = "+")
timeVarying_bas <- paste0(params@time_varying, params@indicator.baseline, collapse = "+")
}
if (length(params@fixed) > 0) {
fixed <- paste0(params@fixed, collapse = "+")
}
if (params@trial.include) trial <- paste0("trial", c("", params@indicator.squared), collapse = "+")
if (params@followup.include) followup <- paste0("followup", c("", params@indicator.squared), collapse = "+")
if (type == "numerator") {
if (params@weight.preexpansion) out <- paste0(c("tx_lag", time, fixed), collapse = "+")
if (!params@weight.preexpansion) out <- paste0(c("tx_lag", trial, followup, fixed, timeVarying_bas), collapse = "+")
} else if (type == "denominator") {
if (params@weight.preexpansion) out <- paste0(c("tx_lag", time, fixed, timeVarying), collapse = "+")
if (!params@weight.preexpansion) out <- paste0(c("tx_lag", trial, followup, fixed, timeVarying, timeVarying_bas), collapse = "+")
}
return(out)
}
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