blindrecalc: adjusted_alpha – R documentation

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adjusted_alpha

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 `TestStatistc` created by `setup`
`n1`	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.

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

Blinded Sample Size Recalculation

v0.1.2

MIT + file LICENSE

Authors

Lukas Baumann [aut], Maximilian Pilz [aut, cre], Institute of Medical Biometry and Informatics - University of Heidelberg [cph]

Initial release