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()
#> ℹ Reading GiBleed tables.
cdm$cohort1 |>
requirePriorObservation(indexDate = "cohort_start_date",
minPriorObservation = 365)
#> # A tibble: 35 × 4
#> cohort_definition_id subject_id cohort_start_date cohort_end_date
#> * <int> <int> <date> <date>
#> 1 1 5 2010-03-17 2010-05-13
#> 2 1 11 1987-08-15 1994-08-22
#> 3 1 16 2013-09-19 2013-09-27
#> 4 1 18 2017-04-06 2017-09-18
#> 5 1 19 1969-12-17 1972-07-29
#> 6 1 21 2015-03-16 2016-12-17
#> 7 1 24 1996-09-27 2000-07-08
#> 8 1 25 2013-06-19 2013-07-09
#> 9 1 28 2012-12-05 2014-03-06
#> 10 1 29 2012-11-04 2012-11-23
#> # ℹ 25 more rows
# }