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,
  ageUnit = "years",
  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.
ageUnit: Unit for age it can either be 'years', 'months' or 'days'.
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(source = "duckdb")

cdm$cohort1 |>
  addDemographics()
#> # Source:   table<og_132_1775495299> [?? x 8]
#> # Database: DuckDB 1.5.1 [unknown@Linux 6.17.0-1008-azure:R 4.5.3/:memory:]
#>    cohort_definition_id subject_id cohort_start_date cohort_end_date   age sex  
#>                   <int>      <int> <date>            <date>          <int> <chr>
#>  1                    1          1 1935-04-13        1940-09-15          6 Male 
#>  2                    2          2 1946-03-18        1947-03-22         23 Male 
#>  3                    1          3 1962-02-25        1986-02-23          1 Fema…
#>  4                    3          4 1942-02-14        1947-03-25         23 Male 
#>  5                    1          5 1960-01-25        1964-08-16          2 Fema…
#>  6                    2          6 1973-01-12        1978-08-06          7 Fema…
#>  7                    2          7 1979-07-25        1980-02-10         17 Male 
#>  8                    3          8 1928-05-26        1948-08-05          3 Male 
#>  9                    1          9 1953-10-01        1963-12-09         13 Male 
#> 10                    2         10 1956-12-16        1964-03-02         10 Male 
#> # ℹ 2 more variables: prior_observation <int>, future_observation <int>

# }