requireFutureObservation() filters cohort records, keeping only records
where individuals satisfy the specified future observation criteria.
Usage
requireFutureObservation(
cohort,
minFutureObservation,
cohortId = NULL,
indexDate = "cohort_start_date",
atFirst = FALSE,
name = tableName(cohort)
)Arguments
- cohort
A cohort table in a cdm reference.
- minFutureObservation
A minimum number of continuous future 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 future observation requirement
Examples
# \donttest{
library(CohortConstructor)
cdm <- mockCohortConstructor()
cdm$cohort1 |>
requireFutureObservation(indexDate = "cohort_start_date",
minFutureObservation = 30)
#> # A tibble: 53 × 4
#> cohort_definition_id subject_id cohort_start_date cohort_end_date
#> * <int> <int> <date> <date>
#> 1 1 1 1994-12-20 1995-03-14
#> 2 1 3 1993-02-24 1996-02-15
#> 3 1 4 1957-07-15 1958-12-23
#> 4 1 5 1999-11-16 2000-01-10
#> 5 1 6 2012-05-12 2012-08-13
#> 6 1 7 2008-08-05 2009-07-08
#> 7 1 9 2019-06-01 2019-06-01
#> 8 1 10 2005-12-11 2016-07-04
#> 9 1 11 1991-05-04 1994-11-17
#> 10 1 13 2002-12-20 2007-06-29
#> # ℹ 43 more rows
# }