Analyse Dataset with Weibull Regression

Usage

analyse_weibull(level = 0.95, alternative = "two.sided")

Arguments

level: confidence level for CI computation
alternative: alternative hypothesis for the tests "two.sided" or "one.sieded"

Value

an analysis function that returns a data.frame

Details

the columns in the return are the two-sided p-value for the test of equal medians. The estimated medians in the treatment and control group and the estimated difference in median survival with confidence intervals.

The estimates and tests are comstructed by fitting seperate Weibull regression models in the treatment and control groups and then estimating the medians and respective variances with the delta-method.

Examples

condition <- merge(
    assumptions_delayed_effect(),
    design_fixed_followup(),
    by=NULL
  ) |>
  head(3) |>
  tail(1)
dat <- generate_delayed_effect(condition)
analyse_weibull()(condition, dat)
#> $p
#> [1] 0.07112782
#> 
#> $alternative
#> [1] "two.sided"
#> 
#> $med_trt_est
#> [1] 778.092
#> 
#> $med_trt_lower
#> [1] 631.5979
#> 
#> $med_trt_upper
#> [1] 924.5862
#> 
#> $med_ctrl_est
#> [1] 1011.487
#> 
#> $med_ctrl_lower
#> [1] 804.6256
#> 
#> $med_ctrl_upper
#> [1] 1218.348
#> 
#> $diff_med_est
#> [1] 233.3947
#> 
#> $diff_med_lower
#> [1] -20.08522
#> 
#> $diff_med_upper
#> [1] 486.8746
#> 
#> $CI_level
#> [1] 0.95
#> 
#> $N_pat
#> [1] 300
#> 
#> $N_evt
#> [1] 300
#>