Summary Method for bbssr_spowerbssr Objects — summary.bbssr

Summarizes the distribution of the final total sample size of a stratified design with blinded sample size re-estimation in each scenario of StratPowerBSSR.

Usage

# S3 method for class 'bbssr_spowerbssr'
summary(object, probs = c(0.25, 0.5, 0.75), ...)

Arguments

object: An object of class bbssr_spowerbssr
probs: Probabilities of the reported quantiles. Default is c(0.25, 0.5, 0.75)
...: Further arguments, ignored

Value

A data frame with one row per scenario containing the true pooled response probabilities p.S1, p.S2, ... of the strata, those of the two groups p1.S1, ... and p2.S1, ..., the expected value E.N and the standard deviation SD.N of the final total sample size, its quantiles (N.q25, N.q50 and N.q75 by default, the smallest total whose distribution function reaches the probability), and the probability P.N.max that it is the largest total the design can reach. With two strata and the fixed allocation this is the largest final total of the re-estimation over all interim outcomes. Otherwise it is N.max, and P.N.max is NA when N.max was not given.

Details

The distribution is the attribute N.dist of object: exact with two strata and the fixed allocation, the average over the allocation sequences with two strata and a random allocation, and that of the simulated trials with three or more strata.

Examples

res <- StratPowerBSSR(p = c(0.4, 0.6), Delta.A = 0.3, Delta.T = 0.3, N1 = c(10, 10),
                      N2 = c(10, 10), omega = 0.5, r = 1, alpha = 0.05,
                      tar.power = 0.8, Test = 'CMH', ss.method = 'standard')
summary(res)
#>   p.S1 p.S2 p1.S1 p1.S2 p2.S1 p2.S2      E.N     SD.N N.q25 N.q50 N.q75
#> 1  0.4  0.6  0.55  0.75  0.25  0.45 59.74021 7.128156    56    60    64
#>     P.N.max
#> 1 0.1985219