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Create a table showing indication results

Usage

tableIndication(
  result,
  header = c("cdm_name", "cohort_name", strataColumns(result)),
  groupColumn = "variable_name",
  hide = c("window_name", "mutually_exclusive", "unknown_indication_table",
    "censor_date", "cohort_table_name", "index_date", "indication_cohort_name"),
  type = "gt"
)

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).

hide

Columns to hide from the visualisation. See options with availableTableColumns(result).

type

Type of table. Check supported types with visOmopResults::tableType().

Value

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

Examples

# \donttest{
cdm <- mockDrugUtilisation()

result <- cdm$cohort1 |>
  summariseIndication(
    indicationCohortName = "cohort2",
    indicationWindow = list(c(-30, 0)),
    unknownIndicationTable = "condition_occurrence"
  )
#>  Intersect with indications table (cohort2)
#>  Summarising indications.

tableIndication(result)
cdm_name
DUS MOCK
Indication estimate_name
cohort_name
cohort_1 cohort_2 cohort_3
Indication from 30 days before to the index date
cohort_1 N (%) 0 (0.0 %) 0 (0.0 %) 0 (0.0 %)
cohort_2 N (%) 0 (0.0 %) 2 (50.0 %) 1 (50.0 %)
cohort_3 N (%) 0 (0.0 %) 0 (0.0 %) 0 (0.0 %)
cohort_1 and cohort_2 N (%) 0 (0.0 %) 0 (0.0 %) 0 (0.0 %)
cohort_1 and cohort_3 N (%) 0 (0.0 %) 0 (0.0 %) 0 (0.0 %)
cohort_2 and cohort_3 N (%) 0 (0.0 %) 0 (0.0 %) 0 (0.0 %)
cohort_1 and cohort_2 and cohort_3 N (%) 0 (0.0 %) 0 (0.0 %) 0 (0.0 %)
unknown N (%) 0 (0.0 %) 0 (0.0 %) 0 (0.0 %)
none N (%) 4 (100.0 %) 2 (50.0 %) 1 (50.0 %)
not in observation N (%) 0 (0.0 %) 0 (0.0 %) 0 (0.0 %)
# }