Table with survival summary

Table with survival summary

Usage

tableSurvival(
  x,
  times = NULL,
  timeScale = "days",
  splitStrata = TRUE,
  header = c("estimate"),
  type = "gt",
  groupColumn = NULL,
  .options = list()
)

Arguments

x

Result from estimateSingleEventSurvival or estimateCompetingRiskSurvival

times

Times at which to report survival in the summary table

timeScale

Time unit to report survival in: days, months or years

splitStrata

If TRUE strata will be split into columns, otherwise "strata_name" and "strata_level" columns will be kept.

header

A vector containing which elements should go into the header. Allowed are: cdm_name, group, strata, additional, variable, estimate, and settings.

type

Type of desired formatted table, possibilities: "gt", "flextable", and "tibble".

groupColumn

Columns to use as group labels.

.options

Named list with additional formatting options. CohortSurvival::optionsTableSurvival() shows allowed arguments and their default values.

Value

A tibble containing a summary of observed survival in the required units

Examples

# \donttest{
cdm <- mockMGUS2cdm()
surv <- estimateSingleEventSurvival(cdm,
                                    targetCohortTable = "mgus_diagnosis",
                                    outcomeCohortTable = "death_cohort")
#> - Getting survival for target cohort 'mgus_diagnosis' and outcome cohort
#> 'death_cohort'
#> Getting overall estimates
tableSurvival(surv, times = c(50,100,365))
#> Warning: The `split` argument of `visOmopTable()` is deprecated as of visOmopResults
#> 0.4.0.
#> ℹ The deprecated feature was likely used in the CohortSurvival package.
#>   Please report the issue to the authors.


  
CDM name
      
Target cohort
      
Outcome name
      

        
Estimate name
      
    
Number records
      
Number events
      
Median survival (95% CI)
      
Restricted mean survival (SE)
      
50 days survival estimate
      
100 days survival estimate
      
365 days survival estimate
    
mock
mgus_diagnosis
death_cohort
1,384
963
98.00 (92.00, 103.00)
133.00 (4.00)
69.67 (67.28, 72.13)
48.50 (45.87, 51.29)
6.84 (3.36, 13.92)
# }