View source: R/demographicsCohort.R
demographicsCohort | R Documentation |
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.
demographicsCohort(
cdm,
name,
ageRange = NULL,
sex = NULL,
minPriorObservation = NULL,
.softValidation = TRUE
)
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 |
A cohort table
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)
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