Require that an index date is within a date range

requireInDateRange() filters cohort records, keeping only those for which the index date is within the specified date range.

Usage

requireInDateRange(
  cohort,
  dateRange,
  cohortId = NULL,
  indexDate = "cohort_start_date",
  name = tableName(cohort)
)

Arguments

cohort

A cohort table in a cdm reference.

dateRange

A date vector with the minimum and maximum dates between which the index date must have been observed.

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

Name of the column in the cohort that contains the date of interest.

name

Name of the new cohort table created in the cdm object.

Value

The cohort table with any cohort entries outside of the date range dropped

Examples

# \donttest{
library(CohortConstructor)

cdm <- mockCohortConstructor(nPerson = 100)
cdm$cohort1 |>
  requireInDateRange(indexDate = "cohort_start_date",
                     dateRange = as.Date(c("2010-01-01", "2019-01-01")))
#> # Source:   table<main.cohort1> [?? x 4]
#> # Database: DuckDB v1.1.3 [unknown@Linux 6.8.0-1017-azure:R 4.4.2/:memory:]
#>    cohort_definition_id subject_id cohort_start_date cohort_end_date
#>                   <int>      <int> <date>            <date>         
#>  1                    1          9 2011-12-20        2011-12-20     
#>  2                    1          9 2011-12-21        2011-12-29     
#>  3                    1          9 2011-12-30        2012-04-02     
#>  4                    1         15 2018-03-20        2018-04-01     
#>  5                    1         22 2013-01-01        2013-03-07     
#>  6                    1         25 2018-01-10        2018-03-13     
#>  7                    1         25 2018-03-14        2018-03-22     
#>  8                    1         25 2018-03-23        2018-06-26     
#>  9                    1         25 2018-06-27        2018-11-13     
#> 10                    1         31 2012-09-03        2013-02-18     
#> # ℹ more rows
# }