It creates columns to indicate the number of days between the current table and a target cohort

Usage

addCohortIntersectDays(
  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
)

Arguments

x: Table with individuals in the cdm.
targetCohortTable: Cohort table to.
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.
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.
targetDate: Date of interest in the other cohort table. Either cohort_start_date or cohort_end_date.
order: date to use if there are multiple records for an individual during the window of interest. Either first or last.
window: Window of time to identify records relative to the indexDate. Records outside of this time period will be ignored.
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.

Value

x along with additional columns for each cohort of interest.

Examples

# \donttest{
library(PatientProfiles)

cdm <- mockPatientProfiles(source = "duckdb")

cdm$cohort1 |>
  addCohortIntersectDays(targetCohortTable = "cohort2")
#> # Source:   table<og_022_1775495240> [?? x 7]
#> # Database: DuckDB 1.5.1 [unknown@Linux 6.17.0-1008-azure:R 4.5.3/:memory:]
#>    cohort_definition_id subject_id cohort_start_date cohort_end_date
#>                   <int>      <int> <date>            <date>         
#>  1                    3          7 1920-09-26        1924-01-12     
#>  2                    3          8 1911-05-17        1915-01-30     
#>  3                    1          1 1979-10-28        1987-10-07     
#>  4                    3          5 1965-07-17        1966-01-19     
#>  5                    2          9 1984-06-26        1995-12-21     
#>  6                    3          3 1948-06-23        1954-11-23     
#>  7                    3          4 1938-03-28        1939-04-15     
#>  8                    1          6 1959-06-05        1959-07-16     
#>  9                    2          2 1951-08-23        1967-06-21     
#> 10                    1         10 1959-10-21        1959-12-22     
#> # ℹ 3 more variables: cohort_3_0_to_inf <dbl>, cohort_2_0_to_inf <dbl>,
#> #   cohort_1_0_to_inf <dbl>

# }