blindrecalc: ChiSquare – R documentation

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ChiSquare

Chi-squared test

Description

This class implements a chi-squared test for superiority trials. A trial with binary outcomes in two groups T and C is assumed.

The function setupChiSquare creates an object of class ChiSquare.

Usage

setupChiSquare(
  alpha,
  beta,
  r = 1,
  delta,
  alternative = c("greater", "smaller"),
  n_max = Inf,
  ...
)

Arguments

`alpha`	One-sided type I error rate.
`beta`	Type II error rate.
`r`	Allocation ratio between experimental and control group.
`delta`	Difference of effect size between alternative and null hypothesis.
`alternative`	Does the alternative hypothesis contain greater (`greater`) or smaller (`smaller`) values than the null hypothesis.
`n_max`	Maximal overall sample size. If the recalculated sample size is greater than `n_max` it is set to `n_max`.
`...`	Further optional arguments.

Details

The following methods are available for this class: toer, pow, n_dist, adjusted_alpha, and n_fix. Check the design specific documentation for details.

For non-inferiority trials use the function setupFarringtonManning.

Value

An object of class ChiSquare.

Examples

design <- setupChiSquare(alpha = .025, beta = .2, r = 1, delta = 0.2,
alternative = "greater")

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