It creates columns to indicate the presence of cohorts
Source:R/addCohortIntersect.R
addCohortIntersectFlag.Rd
It creates columns to indicate the presence of cohorts
Usage
addCohortIntersectFlag(
x,
cdm = lifecycle::deprecated(),
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}"
)
Arguments
- x
Table with individuals in the cdm.
- cdm
Object that contains a cdm reference. Use CDMConnector to obtain a cdm reference.
- targetCohortTable
name of the cohort that we want to check for overlap.
- targetCohortId
vector of cohort definition ids to include.
- indexDate
Variable in x that contains the date to compute the intersection.
- censorDate
whether to censor overlap events at a specific date or a column date of x.
- targetStartDate
date of reference in cohort table, either for start (in overlap) or on its own (for incidence).
- targetEndDate
date of reference in cohort table, either for end (overlap) or NULL (if incidence).
- window
window to consider events of.
- nameStyle
naming of the added column or columns, should include required parameters.
Examples
# \donttest{
cdm <- mockPatientProfiles()
cdm$cohort1 %>%
addCohortIntersectFlag(
targetCohortTable = "cohort2"
)
#> # Source: table<og_046_1714466031> [2 x 6]
#> # Database: DuckDB v0.10.1 [unknown@Linux 6.5.0-1018-azure:R 4.4.0/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date
#> <dbl> <dbl> <date> <date>
#> 1 1 1 2020-01-01 2020-04-01
#> 2 1 1 2020-06-01 2020-08-01
#> # ℹ 2 more variables: cohort_2_0_to_inf <dbl>, cohort_1_0_to_inf <dbl>
CDMConnector::cdmDisconnect(cdm = cdm)
# }