Compute number of intersect with an omop table.

Usage

addTableIntersectCount(
  x,
  tableName,
  indexDate = "cohort_start_date",
  censorDate = NULL,
  window = list(c(0, Inf)),
  targetStartDate = startDateColumn(tableName),
  targetEndDate = endDateColumn(tableName),
  inObservation = TRUE,
  nameStyle = "{table_name}_{window_name}",
  name = NULL
)

Arguments

x: Table with individuals in the cdm.
tableName: Name of the table to intersect with. Options: visit_occurrence, condition_occurrence, drug_exposure, procedure_occurrence, device_exposure, measurement, observation, drug_era, condition_era, specimen, episode.
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.
window: window to consider events in.
targetStartDate: Column name with start date for comparison.
targetEndDate: Column name with end date for comparison.
inObservation: If TRUE only records inside an observation period will be considered.
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

table with added columns with intersect information.

Examples

# \donttest{
cdm <- mockPatientProfiles()

cdm$cohort1 |>
  addTableIntersectCount(tableName = "visit_occurrence")
#> # Source:   table<og_121_1751196103> [?? x 5]
#> # Database: DuckDB v1.3.1 [unknown@Linux 6.11.0-1015-azure:R 4.5.1/:memory:]
#>    cohort_definition_id subject_id cohort_start_date cohort_end_date
#>                   <int>      <int> <date>            <date>         
#>  1                    2          5 1989-09-06        1991-07-02     
#>  2                    2          7 1967-02-08        1968-08-01     
#>  3                    2         10 1979-12-02        2003-08-10     
#>  4                    2          8 2005-12-29        2015-03-13     
#>  5                    2          2 1913-02-12        1921-03-10     
#>  6                    3          4 1980-01-30        1981-04-05     
#>  7                    3          3 1995-03-24        1998-11-13     
#>  8                    2          1 1912-07-28        1912-09-17     
#>  9                    2          6 1946-10-01        1959-05-09     
#> 10                    2          9 1955-10-31        1956-06-15     
#> # ℹ 1 more variable: visit_occurrence_0_to_inf <dbl>

mockDisconnect(cdm = cdm)
# }