blindrecalc: pow – R documentation

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pow

Power

Description

Calculates the power of designs with blinded sample size recalculation or of fixed designs for one or several values of the nuisance parameter.

Usage

pow(design, n1, nuisance, recalculation, ...)

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
`recalculation`	Should the sample size be recalcuated after n1 patients are recruited?
`...`	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

One power value for every nuisance parameter and every value of n1.

Examples

d <- setupStudent(alpha = .025, beta = .2, r = 1, delta = 3.5, delta_NI = 0,
                  alternative = "greater", n_max = 156)
pow(d, n1 = 20, nuisance = 5.5, recalculation = TRUE)

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

pow