
Compute date of intersect with an omop table.
Source:R/addTableIntersect.R
addTableIntersectDate.Rd
Compute date of intersect with an omop table.
Usage
addTableIntersectDate(
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.
Examples
# \donttest{
library(PatientProfiles)
cdm <- mockPatientProfiles(source = "duckdb")
cdm$cohort1 |>
addTableIntersectDate(tableName = "visit_occurrence")
#> # Source: table<og_128_1757798572> [?? x 5]
#> # Database: DuckDB 1.3.3-dev231 [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 1 10 1903-07-10 1918-09-09
#> 2 1 5 1960-10-21 1970-06-03
#> 3 3 9 1933-05-06 1937-08-01
#> 4 3 4 1955-08-02 1961-09-10
#> 5 1 2 1936-10-13 1937-02-15
#> 6 3 8 1973-12-09 1975-07-28
#> 7 2 7 1972-03-01 1973-11-30
#> 8 3 1 1976-05-03 1978-01-27
#> 9 1 3 1920-02-21 1930-04-23
#> 10 1 6 1931-07-23 1931-12-03
#> # ℹ 1 more variable: visit_occurrence_0_to_inf <date>
# }