View source: R/analyse_logrank.R
analyse_logrank | R Documentation |
Analyse Dataset with the Logrank Test
analyse_logrank(alternative = "two.sided")
alternative |
alternative hypothesis for the tests "two.sided" or "one.sieded" |
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.
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
condition <- merge(
assumptions_delayed_effect(),
design_fixed_followup(),
by = NULL
) |>
head(1)
dat <- generate_delayed_effect(condition)
analyse_logrank()(condition, dat)
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