# This file has been autogenerated. Do not change by hand.
#' Create a parameter object for the function getDbCaseCrossoverData
#'
#' @details
#' Create an object defining the parameter values.
#'
#' @param useNestingCohort Should the study be nested in a cohort (e.g. people with
#' a specific indication)? If not, the study will be nested
#' in the general population.
#' @param useObservationEndAsNestingEndDate When using a nesting cohort, should the observation
#' period end date be used instead of the cohort end date?
#' @param getVisits Get data on visits? This is needed when performing a
#' time- case-control study and matching on visit date is
#' requested later on.
#' @param studyStartDate A calendar date specifying the minimum date where data is
#' used. Date format is 'yyyymmdd'.
#' @param studyEndDate A calendar date specifying the maximum date where data is
#' used. Date format is 'yyyymmdd'.
#' @param getTimeControlData Should data for time controls be fetched? (needed for
#' case-time-control analyses).
#' @param maxNestingCohortSize If the nesting cohort is larger than this number it will
#' be sampled to this size. maxCohortSize = 0 indicates no
#' maximum size. (needed for case-time-control analyses).
#' @param maxCasesPerOutcome If there are more than this number of cases for a single
#' outcome cases will be sampled to this size.
#' maxCasesPerOutcome = 0 indicates no maximum size.
#'
#' @export
createGetDbCaseCrossoverDataArgs <- function(useNestingCohort = FALSE,
useObservationEndAsNestingEndDate = TRUE,
getVisits = FALSE,
studyStartDate = "",
studyEndDate = "",
getTimeControlData = FALSE,
maxNestingCohortSize = 1e+07,
maxCasesPerOutcome = 5e+05) {
analysis <- list()
for (name in names(formals(createGetDbCaseCrossoverDataArgs))) {
analysis[[name]] <- get(name)
}
class(analysis) <- "args"
return(analysis)
}
#' Create a parameter object for the function selectSubjectsToInclude
#'
#' @details
#' Create an object defining the parameter values.
#'
#' @param firstOutcomeOnly Use the first outcome per person?
#' @param washoutPeriod Minimum required numbers of days of observation for inclusion as either
#' case or control.
#' @param matchingCriteria If provided, a case-time-control analysis will be performed and controls
#' will be matched based on these criteria.
#' @param minAge Minimum age at which patient time will be included in the analysis. Note
#' that information prior to the min age is still used to determine exposure
#' status after the minimum age (e.g. when a prescription was started just
#' prior to reaching the minimum age). Also, outcomes occurring before the
#' minimum age is reached will be considered as prior outcomes when using
#' first outcomes only. Age should be specified in years, but non-integer
#' values are allowed. If not specified, no age restriction will be applied.
#' @param maxAge Maximum age at which patient time will be included in the analysis. Age
#' should be specified in years, but non-integer values are allowed. If not
#' specified, no age restriction will be applied.
#'
#' @export
createSelectSubjectsToIncludeArgs <- function(firstOutcomeOnly = TRUE,
washoutPeriod = 180,
matchingCriteria = NULL,
minAge = NULL,
maxAge = NULL) {
analysis <- list()
for (name in names(formals(createSelectSubjectsToIncludeArgs))) {
analysis[[name]] <- get(name)
}
class(analysis) <- "args"
return(analysis)
}
#' Create a parameter object for the function getExposureStatus
#'
#' @details
#' Create an object defining the parameter values.
#'
#' @param firstExposureOnly Should only the first exposure per subject be included?
#' @param riskWindowStart The start of the risk window (in days) relative to the index date.
#' This number should be non-positive.
#' @param riskWindowEnd The end of the risk window (in days) relative to the index date. This
#' number should be non-positive.
#' @param controlWindowOffsets Offsets in days of the control windows relative to the case window.
#'
#' @export
createGetExposureStatusArgs <- function(firstExposureOnly = FALSE,
riskWindowStart = -30,
riskWindowEnd = 0,
controlWindowOffsets = c(-60)) {
analysis <- list()
for (name in names(formals(createGetExposureStatusArgs))) {
analysis[[name]] <- get(name)
}
class(analysis) <- "args"
return(analysis)
}
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