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_127_1730219850> [10 x 8]
#> # Database: DuckDB v1.1.1 [unknown@Linux 6.5.0-1025-azure:R 4.4.1/:memory:]
#>    cohort_definition_id subject_id cohort_start_date cohort_end_date   age sex  
#>                   <int>      <int> <date>            <date>          <int> <chr>
#>  1                    3          1 1956-09-28        1980-11-05         23 Male 
#>  2                    2          2 1936-02-11        1948-05-26         29 Male 
#>  3                    2          3 1901-01-02        1905-04-21          0 Fema…
#>  4                    1          4 1983-12-07        1989-03-15         37 Fema…
#>  5                    3          5 2005-05-07        2005-07-23         42 Male 
#>  6                    3          6 1927-08-15        1928-04-28          2 Fema…
#>  7                    2          7 1982-01-30        1996-07-07          3 Male 
#>  8                    2          8 1977-03-24        1980-10-05         22 Male 
#>  9                    1          9 1957-07-05        1958-07-23         12 Fema…
#> 10                    3         10 1939-11-12        1950-11-07         12 Fema…
#> # ℹ 2 more variables: prior_observation <int>, future_observation <int>
mockDisconnect(cdm = cdm)
# }