requirePriorObservation() filters cohort records, keeping only records
where individuals satisfy the specified prior observation criteria.
Usage
requirePriorObservation(
cohort,
minPriorObservation,
cohortId = NULL,
indexDate = "cohort_start_date",
atFirst = FALSE,
name = tableName(cohort)
)Arguments
- cohort
A cohort table in a cdm reference.
- minPriorObservation
A minimum number of continuous prior observation days in the database.
- cohortId
Vector identifying which cohorts to modify (cohort_definition_id or cohort_name). If NULL, all cohorts will be used; otherwise, only the specified cohorts will be modified, and the rest will remain unchanged.
- indexDate
Variable in cohort that contains the date to compute the demographics characteristics on which to restrict on.
- atFirst
If FALSE the requirement will be applied to all records, if TRUE, it will only be required for the first entry of each subject.
- name
Name of the new cohort table created in the cdm object.
Value
The cohort table with only records for individuals satisfying the prior observation requirement
Examples
# \donttest{
library(CohortConstructor)
cdm <- mockCohortConstructor()
cdm$cohort1 |>
requirePriorObservation(indexDate = "cohort_start_date",
minPriorObservation = 365)
#> # Source: table<cohort1> [?? x 4]
#> # Database: DuckDB 1.4.0 [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 2 2010-03-30 2010-04-20
#> 2 1 3 2005-09-25 2007-04-24
#> 3 1 3 2007-04-25 2007-07-09
#> 4 1 3 2007-07-10 2007-11-24
#> 5 1 4 2017-05-07 2017-07-06
#> 6 1 6 1994-11-23 2001-04-26
#> 7 1 6 2014-10-27 2014-12-11
#> 8 1 9 2007-03-19 2007-09-15
# }