Compute time to intersect with an omop table.

Usage

addTableIntersectDays(
  x,
  tableName,
  indexDate = "cohort_start_date",
  censorDate = NULL,
  window = list(c(0, Inf)),
  targetDate = startDateColumn(tableName),
  inObservation = TRUE,
  order = "first",
  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.
targetDate: Target date in tableName.
inObservation: If TRUE only records inside an observation period will be considered.
order: which record is considered in case of multiple records (only required for date and days options).
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")
#> Warning: There are observation period end dates after the current date: 2026-04-06
#> ℹ The latest max observation period end date found is 2033-09-27

cdm$cohort1 |>
  addTableIntersectDays(tableName = "visit_occurrence")
#> # Source:   table<og_155_1775495343> [?? x 5]
#> # 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         10 1951-10-01        1998-09-29     
#>  2                    1          5 1956-08-15        1961-05-25     
#>  3                    3          2 2009-04-04        2018-07-18     
#>  4                    2          7 1972-10-06        1976-01-23     
#>  5                    2          8 1997-11-30        2000-02-09     
#>  6                    1          1 1941-03-14        1941-06-13     
#>  7                    2          6 1927-04-22        1963-05-28     
#>  8                    2          4 1946-02-10        1969-01-16     
#>  9                    1          3 1986-04-30        1987-08-20     
#> 10                    1          9 1951-10-21        1980-03-04     
#> # ℹ 1 more variable: visit_occurrence_0_to_inf <dbl>

# }