tbl_survival.survfit: Creates table of survival probabilities

Description

Function takes a survfit object as an argument, and provides a formatted summary of the results

Usage

# S3 method for survfit
tbl_survival(x, times = NULL, probs = NULL,
  label = ifelse(is.null(probs), "{time}", "{prob*100}%"),
  level_label = "{level}, N = {n}", header_label = NULL,
  header_estimate = NULL, failure = FALSE, missing = "-",
  estimate_fun = NULL, ...)

Value

A tbl_survival object

level_label argument

The level_label is used to modify the stratum labels. The default is level_label = "{level}, N = {n}". The quantities in the curly brackets evaluate to stratum-specific values. For example, in the trial data set, there is a column called trt with levels 'Drug' and 'Placebo'. In this example, {level} would evaluate to either 'Drug' or 'Placebo' depending on the stratum. Other quantities available to print are:

{level} level of the stratification variable
{level_label} label of level for the stratification variable
{n} number of observations, or number within stratum
{n.event.tot} total number of events (total across stratum, if applicable)
{n.event.strata} total number of events within stratum, if applicable
{strata} raw stratum specification from survfit object

Example Output

Example 1

Example 2

Examples

Run this code

# NOT RUN {
library(survival)
fit1 <- survfit(Surv(ttdeath, death) ~ trt, trial)
tbl_strata_ex1 <-
  tbl_survival(fit1,
    times = c(12, 24),
    label = "{time} Months"
  )

fit2 <- survfit(Surv(ttdeath, death) ~ 1, trial)
tbl_nostrata_ex2 <-
  tbl_survival(fit2,
    probs = c(0.1, 0.2),
    header_estimate = "**Months**"
  )
# }