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)
#> # A tibble: 40 × 4
#> cohort_definition_id subject_id cohort_start_date cohort_end_date
#> * <int> <int> <date> <date>
#> 1 1 2 1986-05-13 1986-07-31
#> 2 1 6 1978-04-03 1984-04-10
#> 3 1 7 1997-02-25 2007-01-10
#> 4 1 8 1997-04-08 2014-01-12
#> 5 1 11 2001-07-22 2004-06-16
#> 6 1 17 2005-12-18 2006-04-20
#> 7 1 18 2011-09-02 2012-03-19
#> 8 1 19 2006-10-09 2007-06-09
#> 9 1 21 1992-10-29 1997-09-13
#> 10 1 22 1991-01-04 1993-03-17
#> # ℹ 30 more rows
# }