CohortConstructor (version 0.5.0)

demographicsCohort: Create cohorts based on patient demographics

Description

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,
  .softValidation = TRUE
)

Value

A cohort table

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.

.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()

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)
# }