Create a table with proportion of patients covered results — tableProportionOfPatientsCovered • DrugUtilisation

Usage

tableProportionOfPatientsCovered(
  result,
  header = c("cohort_name", strataColumns(result)),
  groupColumn = "cdm_name",
  type = "gt",
  hide = c("variable_name", "variable_level")
)

Arguments

result: A summarised_result object.
header: Columns to use as header. See options with availableTableColumns(result).
groupColumn: Columns to group by. See options with availableTableColumns(result).
type: Type of table. Check supported types with visOmopResults::tableType().
hide: Columns to hide from the visualisation. See options with availableTableColumns(result).

Value

A table with a formatted version of summariseProportionOfPatientsCovered() results.

Examples

# \donttest{
library(DrugUtilisation)

cdm <- mockDrugUtilisation()

cdm <- generateDrugUtilisationCohortSet(
  cdm = cdm,
  name = "my_cohort",
  conceptSet = list(drug_of_interest = c(1503297, 1503327))
)
#> ℹ Subsetting drug_exposure table
#> ℹ Checking whether any record needs to be dropped.
#> ℹ Collapsing overlaping records.
#> ℹ Collapsing records with gapEra = 1 days.

result <- cdm$my_cohort |>
  summariseProportionOfPatientsCovered(followUpDays = 365)
#> Warning: No records found in cohort table

tableProportionOfPatientsCovered(result)
#> Warning: There are no results with `result_type =
#> summarise_proportion_of_patients_covered`


  Table has no data

CDMConnector::cdmDisconnect(cdm = cdm)
# }