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Bioequivalence Study Data Analysis

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).

Functions (20)

Bioequivalence Study Data Analysis

Internal Functions

NCAResult4BE

An Example of Noncompartmental Analysis Result for Bioequivalence Test

Bioequivalence test of a 2x2 study

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

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

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

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

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

Plot bioequivalence variable of a 2x2 study

Internal Functions

Internal Functions

Power using a confidence interval of previous 2x2 study

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

Power using coefficient of variation (CV)

Power using mean squared error (MSE)

Sample size using a confidence interval of previous 2x2 study

sscv

Sample size using coefficient of variation (CV)

Sample size using mean squared error (MSE)

Bioequivalence test for a variable of a 2x2 study

BE

Bioequivalence Study Data Analysis

v0.1.2

GPL-3

Authors

Kyun-Seop Bae [aut]

Initial release

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