View source: R/stratifyCohorts.R
| stratifyCohorts | R Documentation | 
stratifyCohorts() creates new cohorts, splitting an existing cohort based
on specified columns on which to stratify on.
stratifyCohorts(
  cohort,
  strata,
  cohortId = NULL,
  removeStrata = TRUE,
  name = tableName(cohort),
  .softValidation = TRUE
)
| cohort | A cohort table in a cdm reference. | 
| strata | A strata list that point to columns in cohort table. | 
| cohortId | Vector identifying which cohorts to include (cohort_definition_id or cohort_name). Cohorts not included will be removed from the cohort set. | 
| removeStrata | Whether to remove strata columns from final cohort table. | 
| name | Name of the new cohort table created in the cdm object. | 
| .softValidation | Whether to perform a soft validation of consistency. If set to FALSE four additional checks will be performed: 1) a check that cohort end date is not before cohort start date, 2) a check that there are no missing values in required columns, 3) a check that cohort duration is all within observation period, and 4) that there are no overlapping cohort entries | 
Cohort table stratified.
library(CohortConstructor)
library(PatientProfiles)
cdm <- mockCohortConstructor()
cdm$my_cohort <- cdm$cohort1 |>
  addAge(ageGroup = list("child" = c(0, 17), "adult" = c(18, Inf))) |>
  addSex(name = "my_cohort") |>
  stratifyCohorts(
    strata = list("sex", c("sex", "age_group")), name = "my_cohort"
  )
cdm$my_cohort
settings(cdm$my_cohort)
attrition(cdm$my_cohort)
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