pow: Power

In blindrecalc: Blinded Sample Size Recalculation

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 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
recalculation	Should the sample size be recalculated after n1 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 documentation built on Oct. 4, 2023, 5:06 p.m.