It creates columns to indicate number of occurrences of intersection with a cohort
Source:R/addCohortIntersect.R
addCohortIntersectCount.Rd
It creates columns to indicate number of occurrences of intersection with a cohort
Arguments
- x
Table with individuals in the cdm.
- 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.
- name
Name of the new table, if NULL a temporary table is returned.
Examples
# \donttest{
cdm <- mockPatientProfiles()
cdm$cohort1 |>
addCohortIntersectCount(
targetCohortTable = "cohort2"
)
#> # Source: table<og_005_1734613780> [?? x 7]
#> # Database: DuckDB v1.1.3 [unknown@Linux 6.8.0-1017-azure:R 4.4.2/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date
#> <int> <int> <date> <date>
#> 1 3 4 1955-03-12 1960-11-22
#> 2 3 10 1966-01-03 1972-03-30
#> 3 3 3 1989-07-01 2019-09-08
#> 4 2 6 1958-06-17 1966-03-18
#> 5 2 9 1959-07-30 1976-08-28
#> 6 2 7 1973-01-14 1973-05-30
#> 7 3 2 2025-01-15 2025-02-20
#> 8 2 8 1925-03-26 1935-08-12
#> 9 3 1 1943-03-07 1943-10-04
#> 10 3 5 1947-03-30 1958-02-15
#> # ℹ 3 more variables: cohort_3_0_to_inf <dbl>, cohort_1_0_to_inf <dbl>,
#> # cohort_2_0_to_inf <dbl>
mockDisconnect(cdm = cdm)
# }