Compute time to intersect with an omop table.
Source:R/addTableIntersect.R
addTableIntersectDays.Rd
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),
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.
- 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{
cdm <- mockPatientProfiles()
cdm$cohort1 %>%
addTableIntersectDays(tableName = "visit_occurrence")
#> # Source: table<og_152_1731175198> [10 x 5]
#> # Database: DuckDB v1.1.2 [unknown@Linux 6.5.0-1025-azure:R 4.4.2/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date
#> <int> <int> <date> <date>
#> 1 2 1 1925-07-01 1936-01-22
#> 2 1 5 1960-05-25 1982-02-15
#> 3 2 8 1955-06-07 1966-12-14
#> 4 1 7 1974-01-25 1986-01-19
#> 5 2 9 1978-03-26 1979-02-02
#> 6 1 4 1926-06-19 1936-09-06
#> 7 2 3 1962-07-19 1963-09-12
#> 8 1 2 1986-09-26 1988-08-08
#> 9 2 10 1985-01-30 1990-07-26
#> 10 2 6 1926-02-04 1932-08-08
#> # ℹ 1 more variable: visit_occurrence_0_to_inf <dbl>
mockDisconnect(cdm = cdm)
# }