Analyse Dataset with the Logrank Test

Usage

analyse_logrank(alternative = "two.sided")

Arguments

alternative: alternative hypothesis for the tests "two.sided" or "one.sieded"

Value

an analysis function that returns a data.frame with the columns

p p-value of the logrank test
alternative the alternative used
N_pat number of patients
N_evt number of events

Details

alternative can be "two.sided" for a two sided test of equality of the summary statistic or "one.sided" for a one sided test testing H0: treatment has equal or shorter survival than control vs. H1 treatment has longer survival than control.

Examples

condition <- merge(
  assumptions_delayed_effect(),
  design_fixed_followup(),
  by = NULL
) |>
  head(1)
dat <- generate_delayed_effect(condition)
analyse_logrank()(condition, dat)
#> $p
#> [1] 4.028494e-07
#> 
#> $alternative
#> [1] "two.sided"
#> 
#> $N_pat
#> [1] 300
#> 
#> $N_evt
#> [1] 300
#>