BElikelihood: Likelihood Method for Evaluating Bioequivalence (original) (raw)
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>.
| Version: | 1.1 |
|---|---|
| Depends: | R (≥ 3.5.0) |
| Imports: | ggplot2, mvtnorm |
| Suggests: | knitr, nlme, rmarkdown |
| Published: | 2024-03-05 |
| DOI: | 10.32614/CRAN.package.BElikelihood |
| Author: | Liping Du  [aut, cre], Leena Choi [aut], Cole Beck [aut] |
| Maintainer: | Liping Du <liping.du at vumc.org> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | BElikelihood results |
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