Lexis expansion of data by age-at-risk

Usage

expand_age_at_risk(
  data,
  col.id = "csid",
  col.dob = "dob_anon",
  col.entry_date = "study_date",
  col.exit_date = "endpoint_date",
  col.status = "endpoint",
  col.keep = NULL,
  ages = c(0, 100),
  age.labels = paste0(ages[-length(ages)], "-", ages[-1]),
  null.status = 0
)

Arguments

data: A data frame
col.id: Name of column containing unique participant IDs
col.dob: Name of column containing date of birth (Must be of class Date)
col.entry_date: Name of column containing entry date (Must be of class Date)
col.exit_date: Name of column containing exit date (Must be of class Date)
col.status: Name of column containing status
col.keep: Names of additional columns to include in the result (e.g. exposure and covariate variables)
ages: Vector of ages (years) to create age-at-risk strata. Any participant follow-up outside these ages is dropped. (Must be a numeric vector with distinct, increasing values. Default: c(0, 100))
age.labels: Vector of name for age-at-risk strata (Default: paste0(ages[-length(ages)], "-", ages[-1]))
null.status: Value to use in status column for intervals before the final interval (Default: 0)

Value

Data frame expanded by age-at-risk