Compute demographic characteristics at a certain date

Usage

addDemographics(
  x,
  indexDate = "cohort_start_date",
  age = TRUE,
  ageName = "age",
  ageMissingMonth = 1,
  ageMissingDay = 1,
  ageImposeMonth = FALSE,
  ageImposeDay = FALSE,
  ageGroup = NULL,
  missingAgeGroupValue = "None",
  sex = TRUE,
  sexName = "sex",
  missingSexValue = "None",
  priorObservation = TRUE,
  priorObservationName = "prior_observation",
  priorObservationType = "days",
  futureObservation = TRUE,
  futureObservationName = "future_observation",
  futureObservationType = "days",
  dateOfBirth = FALSE,
  dateOfBirthName = "date_of_birth",
  name = NULL
)

Arguments

x: Table with individuals in the cdm.
indexDate: Variable in x that contains the date to compute the demographics characteristics.
age: TRUE or FALSE. If TRUE, age will be calculated relative to indexDate.
ageName: Age variable name.
ageMissingMonth: Month of the year assigned to individuals with missing month of birth.
ageMissingDay: day of the month assigned to individuals with missing day of birth.
ageImposeMonth: TRUE or FALSE. Whether the month of the date of birth will be considered as missing for all the individuals.
ageImposeDay: TRUE or FALSE. Whether the day of the date of birth will be considered as missing for all the individuals.
ageGroup: if not NULL, a list of ageGroup vectors.
missingAgeGroupValue: Value to include if missing age.
sex: TRUE or FALSE. If TRUE, sex will be identified.
sexName: Sex variable name.
missingSexValue: Value to include if missing sex.
priorObservation: TRUE or FALSE. If TRUE, days of between the start of the current observation period and the indexDate will be calculated.
priorObservationName: Prior observation variable name.
priorObservationType: Whether to return a "date" or the number of "days".
futureObservation: TRUE or FALSE. If TRUE, days between the indexDate and the end of the current observation period will be calculated.
futureObservationName: Future observation variable name.
futureObservationType: Whether to return a "date" or the number of "days".
dateOfBirth: TRUE or FALSE, if true the date of birth will be return.
dateOfBirthName: dateOfBirth column name.
name: Name of the new table, if NULL a temporary table is returned.

Value

cohort table with the added demographic information columns.

Examples

# \donttest{
library(PatientProfiles)
cdm <- mockPatientProfiles()

cdm$cohort1 |>
  addDemographics()
#> # Source:   table<og_111_1748639767> [?? x 8]
#> # Database: DuckDB v1.2.2 [unknown@Linux 6.11.0-1015-azure:R 4.5.0/:memory:]
#>    cohort_definition_id subject_id cohort_start_date cohort_end_date   age sex  
#>                   <int>      <int> <date>            <date>          <int> <chr>
#>  1                    3          1 1963-08-26        1975-09-01         31 Male 
#>  2                    3          2 1948-08-09        1950-11-03         17 Male 
#>  3                    2          3 1969-05-22        1972-05-03         22 Fema…
#>  4                    1          4 1949-07-13        1952-09-16         24 Fema…
#>  5                    2          5 2009-02-09        2009-02-26         35 Male 
#>  6                    1          6 1927-11-08        1944-03-20          1 Fema…
#>  7                    1          7 1956-04-06        1979-07-23          9 Fema…
#>  8                    3          8 1956-12-08        1958-04-17         33 Male 
#>  9                    3          9 1945-07-07        1957-09-15         25 Fema…
#> 10                    3         10 1967-08-23        1976-12-24          9 Fema…
#> # ℹ 2 more variables: prior_observation <int>, future_observation <int>

mockDisconnect(cdm = cdm)
# }