Likelihood Method for Evaluating Bioequivalence

A likelihood method is implemented to present evidence for evaluating bioequivalence (BE). The functions use bioequivalence data [area under the blood concentration-time curve (AUC) and peak concentration (Cmax)] from various crossover designs commonly used in BE studies including a fully replicated, a partially replicated design, and a conventional 2x2 crossover design. They will calculate the profile likelihoods for the mean difference, total standard deviation ratio, and within subject standard deviation ratio for a test and a reference drug. A plot of a standardized profile likelihood can be generated along with the maximum likelihood estimate and likelihood intervals, which present evidence for bioequivalence. See Liping Du and Leena Choi (2015) .


Reference manual

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install.packages("BElikelihood")

1.1 by Liping Du, 3 years ago


Browse source code at https://github.com/cran/BElikelihood


Authors: Liping Du [aut, cre] , Leena Choi [aut] , Cole Beck [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports ggplot2, mvtnorm

Suggests knitr, nlme, rmarkdown


See at CRAN