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

Usage

addCohortIntersectDays(
  x,
  cdm = lifecycle::deprecated(),
  targetCohortTable,
  targetCohortId = NULL,
  indexDate = "cohort_start_date",
  censorDate = NULL,
  targetDate = "cohort_start_date",
  order = "first",
  window = 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: 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.

Value

x along with additional columns for each cohort of interest.

Examples

# \donttest{
cdm <- mockPatientProfiles()

cdm$cohort1 %>%
  addCohortIntersectDays(
    targetCohortTable = "cohort2"
  )
#> # Source:   table<og_037_1714466027> [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_1_0_to_inf <dbl>, cohort_2_0_to_inf <dbl>
CDMConnector::cdmDisconnect(cdm = cdm)
# }