adjusted_alpha: Adjusted level of significance

In blindrecalc: Blinded Sample Size Recalculation

Adjusted level of significance

Description

This method returns an adjusted significance level that can be used such that the actual type I error rate is preserved.

Usage

adjusted_alpha(design, n1, nuisance, ...)

Arguments

design	object of class TestStatistic created by setup
n1	total number of patients that are recruited before the sample size is recalculated
nuisance	nuisance parameter that is estimated at the interim analysis
...	Further optional arguments.

Details

The method is only vectorized in either nuisance or n1.

The method is implemented for the classes Student, ChiSquare, and FarringtonManning. Check the class-specific documentation for further parameters that have to be specified.

Value

Value of the adjusted significance level for every nuisance parameter and every value of n1.

Examples

d <- setupStudent(alpha = .025, beta = .2, r = 1, delta = 0, delta_NI = 1.5, n_max = 848)
sigma <- c(2, 5.5, 9)
adjusted_alpha(design = d, n1 = 20, nuisance = sigma, tol = 1e-4, iters = 1e3)

blindrecalc documentation built on Oct. 4, 2023, 5:06 p.m.