tost: Two One-Sided Test (TOST) for (Bio)Equivalence Testing

In cTOST: Finite Sample Correction of the Two One-Sided Tests in the Univariate Framework

Two One-Sided Test (TOST) for (Bio)Equivalence Testing

Description

This function performs a Two One-Sided Test (TOST) for (bio)equivalence testing.

Usage

tost(theta, sigma, nu, alpha, delta)

Arguments

theta	A numeric value corresponding to the difference of means (e.g. between a generic and reference drug).
sigma	A numeric value corresponding to the standard error.
nu	A numeric value corresponding to the number of degrees of freedom.
alpha	A numeric value specifying the significance level.
delta	A numeric value corresponding to (bio)equivalence limit. We assume symmetry, i.e, the (bio)equivalence interval corresponds to (-delta,delta)

Value

A tost object with the structure:

• decision: A boolean variable indicating whether (bio)equivalence is accepted or not.

• ci: Confidence interval at the 1 - 2*alpha level.

• theta: The difference of means used for the test.

• sigma: The standard error used for the test.

• nu: The number of degrees of freedom used for the test.

• alpha: The significance level used for the test.

• delta: The (bio)equivalence limits used for the test.

• method: The method used for the test (here the "TOST").

Author(s)

Younes Boulaguiem, Stéphane Guerrier, Dominique-Laurent Couturier

Examples

data(skin)

theta_hat = diff(apply(skin,2,mean))
nu = nrow(skin) - 1
sig_hat = sd(apply(skin,1,diff))/sqrt(nu)
tost(theta = theta_hat, sigma = sig_hat, nu = nu,
     alpha = 0.05, delta = log(1.25))

cTOST documentation built on April 4, 2025, 4:06 a.m.