getDesignFisherExact: Power and Sample Size for Fisher's Exact Test for Two...

In lrstat: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond

Power and Sample Size for Fisher's Exact Test for Two Proportions

Description

Obtains the power given sample size or obtains the sample size given power for Fisher's exact test for two proportions.

Usage

getDesignFisherExact(
  beta = NA_real_,
  n = NA_real_,
  pi1 = NA_real_,
  pi2 = NA_real_,
  allocationRatioPlanned = 1,
  alpha = 0.05
)

Arguments

beta	The type II error.
n	The total sample size.
pi1	The assumed probability for the active treatment group.
pi2	The assumed probability for the control group.
allocationRatioPlanned	Allocation ratio for the active treatment versus control. Defaults to 1 for equal randomization.
alpha	The two-sided significance level. Defaults to 0.05.

Value

A data frame with the following variables:

• alpha: The two-sided significance level.

• power: The power.

• n: The sample size.

• pi1: The assumed probability for the active treatment group.

• pi2: The assumed probability for the control group.

• allocationRatioPlanned: Allocation ratio for the active treatment versus control.

Author(s)

Kaifeng Lu, [e-mail]

Examples

(design1 <- getDesignFisherExact(
  beta = 0.2, pi1 = 0.5, pi2 = 0.2, alpha = 0.05))

lrstat documentation built on Oct. 18, 2024, 9:06 a.m.