Variables that can be used for faceting and colouring survival plots

Usage

availableSurvivalGrouping(result, varying = FALSE)

Arguments

result: Survival results
varying: If FALSE (default), only variables with non-unique values will be returned, otherwise all available variables will be returned.

Examples

# \donttest{
cdm <- mockMGUS2cdm()
#> Creating a new cdm
#> Uploading table person (1384 rows) - [1/7]
#> Uploading table observation_period (1384 rows) - [2/7]
#> Uploading table visit_occurrence (1 rows) - [3/7]
#> Uploading table death_cohort (963 rows) - [4/7]
#> Uploading table mgus_diagnosis (1384 rows) - [5/7]
#> Uploading table progression (115 rows) - [6/7]
#> Uploading table progression_type (230 rows) - [7/7]
surv <- estimateSingleEventSurvival(cdm,
                                    targetCohortTable = "mgus_diagnosis",
                                    outcomeCohortTable = "death_cohort")
#> - Getting survival for target cohort 'mgus_diagnosis' and outcome cohort
#> 'death_cohort'
#> Getting overall estimates
#> `eventgap`, `outcome_washout`, `censor_on_cohort_exit`, `follow_up_days`, and
#> `minimum_survival_days` casted to character.
availableSurvivalGrouping(surv)
#> Warning: eventgap column will be added to the survival result object to include all
#> relevant information
#> [1] "time"                "estimate"            "estimate_95CI_lower"
#> [4] "estimate_95CI_upper"
# }