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"
)

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.

Value

cohort table with the added demographic information columns.

Examples

# \donttest{
library(PatientProfiles)
cdm <- mockPatientProfiles()
cdm$cohort1 %>%
  addDemographics()
#> # Source:   table<og_111_1715898454> [10 x 8]
#> # Database: DuckDB v0.10.2 [unknown@Linux 6.5.0-1021-azure:R 4.4.0/:memory:]
#>    cohort_definition_id subject_id cohort_start_date cohort_end_date   age sex  
#>                   <int>      <int> <date>            <date>          <int> <chr>
#>  1                    2          8 1907-01-02        1913-08-29          0 Male 
#>  2                    3          4 2099-10-18        2110-09-26         92 Male 
#>  3                    2          1 1959-05-14        1966-08-26         57 Male 
#>  4                    1          5 1992-01-25        2013-08-17         19 Male 
#>  5                    2          6 1924-04-15        1970-10-14         12 Fema…
#>  6                    2          7 2108-04-02        2145-01-10         93 Male 
#>  7                    2          2 1957-04-30        1993-06-18         10 Male 
#>  8                    1          3 1995-09-08        2015-03-23         65 Male 
#>  9                    3         10 2007-07-25        2017-12-23         45 Fema…
#> 10                    2          9 1999-06-09        2035-09-17         14 Fema…
#> # ℹ 2 more variables: prior_observation <int>, future_observation <int>
mockDisconnect(cdm = cdm)
# }