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# Copyright 2024 DARWIN EU (C)
#
# This file is part of PatientProfiles
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#' It creates columns to indicate the presence of cohorts
#'
#' @param x Table with individuals in the cdm.
#' @param targetCohortTable name of the cohort that we want to check for overlap.
#' @param targetCohortId vector of cohort definition ids to include.
#' @param indexDate Variable in x that contains the date to compute the
#' intersection.
#' @param censorDate whether to censor overlap events at a specific date
#' or a column date of x.
#' @param targetStartDate date of reference in cohort table, either for start
#' (in overlap) or on its own (for incidence).
#' @param targetEndDate date of reference in cohort table, either for end
#' (overlap) or NULL (if incidence).
#' @param window window to consider events of.
#' @param nameStyle naming of the added column or columns, should include
#' required parameters.
#' @param name Name of the new table, if NULL a temporary table is returned.
#'
#' @return table with added columns with overlap information.
#' @export
#'
#' @examples
#' \donttest{
#' cdm <- mockPatientProfiles()
#'
#' cdm$cohort1 %>%
#' addCohortIntersectFlag(
#' targetCohortTable = "cohort2"
#' )
#' mockDisconnect(cdm = cdm)
#' }
#'
addCohortIntersectFlag <- function(x,
targetCohortTable,
targetCohortId = NULL,
indexDate = "cohort_start_date",
censorDate = NULL,
targetStartDate = "cohort_start_date",
targetEndDate = "cohort_end_date",
window = list(c(0, Inf)),
nameStyle = "{cohort_name}_{window_name}",
name = NULL) {
cdm <- omopgenerics::cdmReference(x)
omopgenerics::assertCharacter(targetCohortTable)
checkCdm(cdm, tables = targetCohortTable)
omopgenerics::assertNumeric(targetCohortId, null = TRUE)
parameters <- checkCohortNames(cdm[[targetCohortTable]], targetCohortId, targetCohortTable)
nameStyle <- gsub("\\{cohort_name\\}", "\\{id_name\\}", nameStyle)
x <- x %>%
.addIntersect(
tableName = targetCohortTable,
filterVariable = parameters$filter_variable,
filterId = parameters$filter_id,
idName = parameters$id_name,
value = "flag",
indexDate = indexDate,
targetStartDate = targetStartDate,
targetEndDate = targetEndDate,
window = window,
nameStyle = nameStyle,
censorDate = censorDate,
name = name
)
return(x)
}
#' It creates columns to indicate number of occurrences of intersection with a
#' cohort
#'
#' @param x Table with individuals in the cdm.
#' @param targetCohortTable name of the cohort that we want to check for overlap.
#' @param targetCohortId vector of cohort definition ids to include.
#' @param indexDate Variable in x that contains the date to compute the
#' intersection.
#' @param censorDate whether to censor overlap events at a specific date
#' or a column date of x.
#' @param targetStartDate date of reference in cohort table, either for start
#' (in overlap) or on its own (for incidence).
#' @param targetEndDate date of reference in cohort table, either for end
#' (overlap) or NULL (if incidence).
#' @param window window to consider events of.
#' @param nameStyle naming of the added column or columns, should include
#' required parameters.
#' @param name Name of the new table, if NULL a temporary table is returned.
#'
#' @return table with added columns with overlap information.
#' @export
#'
#' @examples
#' \donttest{
#' cdm <- mockPatientProfiles()
#'
#' cdm$cohort1 %>%
#' addCohortIntersectCount(
#' targetCohortTable = "cohort2"
#' )
#' mockDisconnect(cdm = cdm)
#' }
#'
addCohortIntersectCount <- function(x,
targetCohortTable,
targetCohortId = NULL,
indexDate = "cohort_start_date",
censorDate = NULL,
targetStartDate = "cohort_start_date",
targetEndDate = "cohort_end_date",
window = list(c(0, Inf)),
nameStyle = "{cohort_name}_{window_name}",
name = NULL) {
cdm <- omopgenerics::cdmReference(x)
omopgenerics::assertCharacter(targetCohortTable)
checkCdm(cdm, tables = targetCohortTable)
omopgenerics::assertNumeric(targetCohortId, null = TRUE)
parameters <- checkCohortNames(cdm[[targetCohortTable]], targetCohortId, targetCohortTable)
nameStyle <- gsub("\\{cohort_name\\}", "\\{id_name\\}", nameStyle)
x <- x %>%
.addIntersect(
tableName = targetCohortTable,
filterVariable = parameters$filter_variable,
filterId = parameters$filter_id,
idName = parameters$id_name,
value = "count",
indexDate = indexDate,
targetStartDate = targetStartDate,
targetEndDate = targetEndDate,
window = window,
nameStyle = nameStyle,
censorDate = censorDate,
name = name
)
return(x)
}
#' It creates columns to indicate the number of days between the current table
#' and a target cohort
#'
#' @param x Table with individuals in the cdm.
#' @param targetCohortTable Cohort table to.
#' @param targetCohortId Cohort IDs of interest from the other cohort table. If
#' NULL, all cohorts will be used with a days variable added for each
#' cohort of interest.
#' @param indexDate Variable in x that contains the date to compute the
#' intersection.
#' @param censorDate whether to censor overlap events at a specific date
#' or a column date of x.
#' @param targetDate Date of interest in the other cohort table. Either
#' cohort_start_date or cohort_end_date.
#' @param order date to use if there are multiple records for an
#' individual during the window of interest. Either first or last.
#' @param window Window of time to identify records relative to the indexDate.
#' Records outside of this time period will be ignored.
#' @param nameStyle naming of the added column or columns, should include
#' required parameters.
#' @param name Name of the new table, if NULL a temporary table is returned.
#'
#' @return x along with additional columns for each cohort of interest.
#' @export
#'
#' @examples
#' \donttest{
#' cdm <- mockPatientProfiles()
#'
#' cdm$cohort1 %>%
#' addCohortIntersectDays(
#' targetCohortTable = "cohort2"
#' )
#' mockDisconnect(cdm = cdm)
#' }
#'
addCohortIntersectDays <- function(x,
targetCohortTable,
targetCohortId = NULL,
indexDate = "cohort_start_date",
censorDate = NULL,
targetDate = "cohort_start_date",
order = "first",
window = c(0, Inf),
nameStyle = "{cohort_name}_{window_name}",
name = NULL) {
cdm <- omopgenerics::cdmReference(x)
omopgenerics::assertCharacter(targetCohortTable)
checkCdm(cdm, tables = targetCohortTable)
omopgenerics::assertNumeric(targetCohortId, null = TRUE)
parameters <- checkCohortNames(cdm[[targetCohortTable]], targetCohortId, targetCohortTable)
nameStyle <- gsub("\\{cohort_name\\}", "\\{id_name\\}", nameStyle)
x <- x %>%
.addIntersect(
tableName = targetCohortTable,
indexDate = indexDate,
value = "days",
filterVariable = parameters$filter_variable,
filterId = parameters$filter_id,
idName = parameters$id_name,
window = window,
targetStartDate = targetDate,
targetEndDate = NULL,
order = order,
nameStyle = nameStyle,
censorDate = censorDate,
name = name
)
return(x)
}
#' Date of cohorts that are present in a certain window
#'
#' @param x Table with individuals in the cdm.
#' @param targetCohortTable Cohort table to.
#' @param targetCohortId Cohort IDs of interest from the other cohort table. If
#' NULL, all cohorts will be used with a time variable added for each
#' cohort of interest.
#' @param indexDate Variable in x that contains the date to compute the
#' intersection.
#' @param censorDate whether to censor overlap events at a specific date
#' or a column date of x.
#' @param targetDate Date of interest in the other cohort table. Either
#' cohort_start_date or cohort_end_date.
#' @param order date to use if there are multiple records for an
#' individual during the window of interest. Either first or last.
#' @param window Window of time to identify records relative to the indexDate.
#' Records outside of this time period will be ignored.
#' @param nameStyle naming of the added column or columns, should include
#' required parameters.
#' @param name Name of the new table, if NULL a temporary table is returned.
#'
#' @return x along with additional columns for each cohort of interest.
#' @export
#'
#' @examples
#' \donttest{
#' cdm <- mockPatientProfiles()
#'
#' cdm$cohort1 %>%
#' addCohortIntersectDate(
#' targetCohortTable = "cohort2"
#' )
#' mockDisconnect(cdm = cdm)
#' }
#'
addCohortIntersectDate <- function(x,
targetCohortTable,
targetCohortId = NULL,
indexDate = "cohort_start_date",
censorDate = NULL,
targetDate = "cohort_start_date",
order = "first",
window = c(0, Inf),
nameStyle = "{cohort_name}_{window_name}",
name = NULL) {
cdm <- omopgenerics::cdmReference(x)
omopgenerics::assertCharacter(targetCohortTable)
checkCdm(cdm, tables = targetCohortTable)
omopgenerics::assertNumeric(targetCohortId, null = TRUE)
parameters <- checkCohortNames(cdm[[targetCohortTable]], targetCohortId, targetCohortTable)
nameStyle <- gsub("\\{cohort_name\\}", "\\{id_name\\}", nameStyle)
x <- x %>%
.addIntersect(
tableName = targetCohortTable,
indexDate = indexDate,
value = "date",
filterVariable = parameters$filter_variable,
filterId = parameters$filter_id,
idName = parameters$id_name,
window = window,
targetStartDate = targetDate,
targetEndDate = NULL,
order = order,
nameStyle = nameStyle,
censorDate = censorDate,
name = name
)
return(x)
}
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