BElikelihood: 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) <doi:10.1002/pst.1661>.

Package details

AuthorLiping Du [aut, cre] (<https://orcid.org/0000-0003-4926-2135>), Leena Choi [aut] (<https://orcid.org/0000-0002-2544-7090>), Cole Beck [aut] (<https://orcid.org/0000-0002-6849-6255>)
MaintainerLiping Du <liping.du@vumc.org>
LicenseGPL (>= 3)
Version1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BElikelihood")

Try the BElikelihood package in your browser

Any scripts or data that you put into this service are public.

BElikelihood documentation built on May 29, 2024, 2:45 a.m.