Create cohorts based on patient demographics

demographicsCohort() creates a cohort table based on patient characteristics. If and when an individual satisfies all the criteria they enter the cohort. When they stop satisfying any of the criteria their cohort entry ends.

Usage

demographicsCohort(
  cdm,
  name,
  ageRange = NULL,
  sex = NULL,
  minPriorObservation = NULL
)

Arguments

cdm

A cdm reference.

name

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

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.

Value

A cohort table

Examples

# \donttest{
if(isTRUE(omock::isMockDatasetDownloaded("GiBleed"))){
library(CohortConstructor)

cdm <- mockCohortConstructor()

cohort <-  cdm |>
    demographicsCohort(name = "cohort3", ageRange = c(18,40), sex = "Male")

attrition(cohort)

# Can also create multiple demographic cohorts, and add minimum prior history requirements.

cohort <- cdm |>
    demographicsCohort(name = "cohort4",
    ageRange = list(c(0, 19),c(20, 64),c(65, 150)),
    sex = c("Male", "Female", "Both"),
    minPriorObservation = 365)

attrition(cohort)
}
# }