View source: R/analyse_rmst_diff.R
analyse_rmst_diff | R Documentation |
Analyse the Dataset using the difference in RMST
analyse_rmst_diff(max_time = NA, level = 0.95, alternative = "two.sided")
max_time |
time for which the RMST is calculated |
level |
confidence level for CI computation |
alternative |
alternative hypothesis for the tests "two.sided" or "one.sieded" |
The implementation from the nph package is used, see the documentation there for 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.
The data.frame returned by the created function includes the follwing columns:
p
p value of the test, see Details
alternative
the alternative used
rmst_diff
estimated differnce in RMST
rmst_diff_lower
unadjusted lower bound of the confidence interval for differnce in RMST
rmst_diff_upper
unadjusted upper bound of the confidence interval for differnce in RMST
CI_level
the CI level used
N_pat
number of patients
N_evt
number of events
Returns an analysis function, that can be used in runSimulations
nph::nphparams
condition <- merge(
assumptions_delayed_effect(),
design_fixed_followup(),
by = NULL
) |>
head(1)
dat <- generate_delayed_effect(condition)
analyse_rmst_diff()(condition, dat)
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