CohortConstructor (version 0.5.0)

trimDemographics: Trim cohort on patient demographics

Description

trimDemographics() resets the cohort start and end date based on the specified demographic criteria is satisfied.

Usage

trimDemographics(
  cohort,
  cohortId = NULL,
  ageRange = NULL,
  sex = NULL,
  minPriorObservation = NULL,
  minFutureObservation = NULL,
  name = tableName(cohort),
  .softValidation = TRUE
)

Value

The cohort table with only records for individuals satisfying the demographic requirements

Arguments

cohort

A cohort table in a cdm reference.

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.

ageRange

A list of vectors specifying minimum and maximum age.

sex

Can be "Both", "Male" or "Female".

minPriorObservation

A minimum number of continuous prior observation days in the database.

minFutureObservation

A minimum number of continuous future observation days in the database.

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

Examples

# \donttest{
library(CohortConstructor)

cdm <- mockCohortConstructor(nPerson = 100)

cdm$cohort1 |> trimDemographics(ageRange = list(c(10, 30)))
# }