Analyse the dataset using differnce in median survival

Analyse the dataset using differnce in median survival

Usage

analyse_diff_median_survival(
  quant = 0.5,
  level = 0.95,
  alternative = "two.sided"
)

Arguments

quant

quantile for which the difference should be calculated, defaults to the median

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.

The data.frame returned by the created function includes the follwing columns:

• p p value of the test, see Details

• alternative the alternative used

• diff_Q estimated differnce in quantile of the suvivla functions

• diff_Q_lower unadjusted lower bound of the confidence interval for the differnce in quantile of the suvivla functions

• diff_Q_upper unadjusted upper bound of the confidence interval for the differnce in quantile of the suvivla functions

• CI_level the CI level used

• quantile quantile used for extimation

• 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_diff_median_survival()(condition, dat)
#> $p
#> [1] 0.1421923
#> 
#> $alternative
#> [1] "two.sided"
#> 
#> $diff_Q
#> [1] 255
#> 
#> $diff_Q_lower
#> [1] -85.53215
#> 
#> $diff_Q_upper
#> [1] 595.5322
#> 
#> $CI_level
#> [1] 0.95
#> 
#> $quantile
#> [1] 0.5
#> 
#> $N_pat
#> [1] 300
#> 
#> $N_evt
#> [1] 300
#>