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")

cdm$cohort1 |>
  addTableIntersectDays(tableName = "visit_occurrence")
#> # Source:   table<og_142_1761733721> [?? 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                    2          6 1941-01-13        1945-02-18     
#>  2                    1          7 1979-03-08        1983-03-17     
#>  3                    3          5 1983-09-06        2009-01-31     
#>  4                    3          8 1926-11-21        1932-01-26     
#>  5                    2          3 1962-07-07        1963-11-08     
#>  6                    3          2 1973-09-05        1974-10-26     
#>  7                    3          1 1948-05-12        1949-11-02     
#>  8                    2         10 1999-09-27        2005-05-13     
#>  9                    1          4 1938-01-16        1938-07-14     
#> 10                    1          9 1952-12-10        1967-02-28     
#> # ℹ 1 more variable: visit_occurrence_0_to_inf <dbl>

# }