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BE (version 0.2.4)

Bioequivalence Study Data Analysis

Description

Analyze bioequivalence study data with industrial strength. Sample size could be determined for various crossover designs, such as 2x2 design, 2x4 design, 4x4 design, Balaam design, Two-sequence dual design, and William design. Reference: Chow SC, Liu JP. Design and Analysis of Bioavailability and Bioequivalence Studies. 3rd ed. (2009, ISBN:978-1-58488-668-6).

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Version

Install

install.packages('BE')

Monthly Downloads

321

Version

0.2.4

License

GPL-3

Maintainer

Kyun-Seop Bae

Last Published

January 7th, 2023

Functions in BE (0.2.4)

Widened Bound for Scaled Average Bioequivalence

Power using coefficient of variation (CV)

Sample Size for Scaled Average BE using coefficient of variation (CV)

Power using mean squared error (MSE)

Sample size using mean squared error (MSE)

Sample size using coefficient of variation (CV)

Bioequivalence test for a variable of a 2x2 study

Sample size using a confidence interval of previous 2x2 study

Bioequivalence test of a 2x2 study

Mean squared error (MSE) from a confidence interval of previous 2x2 study

Coefficient of variation (CV) from mean squared error (MSE)

Bioequivalence Study Data Analysis

Coefficient of variation (CV) from a confidence interval of previous 2x2 study

Mean squared error (MSE) from coefficient of variation (CV)

Internal Functions

Hodges-Lehmann estimation for a variable of a 2x2 study

Plot bioequivalence variable of a 2x2 study

An Example of Noncompartmental Analysis Result for Bioequivalence Test

Power using a confidence interval of previous 2x2 study

Internal Functions

Power using mean squared error (MSE) of previous 2x2 study

Internal Functions