Calculate differences in the Kaplan-Meier estimator of survival using the
results from survival::survfit().
Arguments
- x
(
survift)
object of class'survfit'typically created withsurvival::survfit()- times
(
numeric)
a vector of times for which to return survival probabilities.- conf.level
(scalar
numeric)
confidence level for confidence interval. Default is0.95.
Examples
library(ggsurvfit)
library(survival)
survfit(Surv_CNSR() ~ TRTA, data = cards::ADTTE) |>
ard_survival_survfit_diff(times = c(25, 50))
#> # An ARD data frame: 32 × 11
#> group1 group1_level variable variable_level stat_name
#> <chr> <list> <chr> <list> <chr>
#> 1 TRTA Xanomeline High Dose time 25 reference_level
#> 2 TRTA Xanomeline High Dose time 25 method
#> 3 TRTA Xanomeline High Dose time 25 estimate
#> 4 TRTA Xanomeline High Dose time 25 std.error
#> 5 TRTA Xanomeline High Dose time 25 statistic
#> 6 TRTA Xanomeline High Dose time 25 conf.low
#> 7 TRTA Xanomeline High Dose time 25 conf.high
#> 8 TRTA Xanomeline High Dose time 25 p.value
#> 9 TRTA Xanomeline High Dose time 50 reference_level
#> 10 TRTA Xanomeline High Dose time 50 method
#> # ℹ 22 more rows
#> # ℹ 6 more variables: context <chr>, stat_label <chr>, stat <list>,
#> # fmt_fun <list>, warning <list>, error <list>
