Analyse the Dataset using the difference in RMST

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"

Value

Returns an analysis function, that can be used in runSimulations

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

See also

nph::nphparams

Examples

condition <- merge(
  assumptions_delayed_effect(),
  design_fixed_followup(),
  by = NULL
) |>
  head(1)
dat <- generate_delayed_effect(condition)
analyse_rmst_diff()(condition, dat)
#> $p
#> [1] 0.02254084
#> 
#> $alternative
#> [1] "two.sided"
#> 
#> $rmst_diff
#> [1] 297.9007
#> 
#> $rmst_diff_lower
#> [1] 41.94202
#> 
#> $rmst_diff_upper
#> [1] 553.8594
#> 
#> $CI_level
#> [1] 0.95
#> 
#> $N_pat
#> [1] 300
#> 
#> $N_evt
#> [1] 300
#>