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{
library(PatientProfiles)

cdm <- mockPatientProfiles(source = "duckdb")

cdm$cohort1 |>
  addTableIntersectCount(tableName = "visit_occurrence")
#> # Source:   table<og_128_1761733715> [?? x 5]
#> # Database: DuckDB 1.4.1 [unknown@Linux 6.11.0-1018-azure:R 4.5.1/:memory:]
#>    cohort_definition_id subject_id cohort_start_date cohort_end_date
#>                   <int>      <int> <date>            <date>         
#>  1                    3          7 1953-12-11        1959-11-13     
#>  2                    3          4 1922-12-04        1927-08-24     
#>  3                    1          3 1975-06-16        1982-07-04     
#>  4                    1          8 1915-08-20        1917-11-04     
#>  5                    2          9 1923-07-07        1926-11-24     
#>  6                    2         10 1903-08-25        1919-09-04     
#>  7                    3          1 1981-05-03        1981-05-23     
#>  8                    3          2 1945-04-12        1951-10-24     
#>  9                    3          5 1982-04-27        1983-12-20     
#> 10                    2          6 1963-08-23        1965-01-31     
#> # ℹ 1 more variable: visit_occurrence_0_to_inf <dbl>

# }