analyse_rmst_diff {SimNPH} | R Documentation |
Analyse the Dataset using the difference in RMST
Description
Analyse the Dataset using the difference in RMST
Usage
analyse_rmst_diff(max_time = NA, level = 0.95, alternative = "two.sided")
Arguments
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" |
Details
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
Value
Returns an analysis function, that can be used in runSimulations
See Also
Examples
condition <- merge(
assumptions_delayed_effect(),
design_fixed_followup(),
by = NULL
) |>
head(1)
dat <- generate_delayed_effect(condition)
analyse_rmst_diff()(condition, dat)