Description Usage Arguments Details Value Author(s) Examples

It performs conventional bioequivalence test for 2x2 study. Basic assumption is that the variable is distributed as a log-normal distribution. This is SAS PROC GLM style. If you want PROC MIXED style use `nlme::lme`

.

1 | ```
test2x2(bedata, Var)
``` |

`bedata` |
Data table name. This should have at least the following columns and a variable column to be tested. GRP : Group or Sequence, 'RT' or 'TR' PRD : Period, 1 or 2 SUBJ : Subject ID TRT : Treatment or Drug, 'R' or 'T' |

`Var` |
Variable to be tested. This should be one of the column names in |

It tests `Var`

variable equivalency from a 2x2 study. Current regulatory requirement is that the 90% confidence interval of geometric mean ratio (Test/Reference) should be within [0.8, 1.25].

`Analysis of Variance (log scale)` |
Analysis of Variance in log scale |

`Between and Within Subject Variability` |
Variance in log scale and coefficient of variance in original scale |

`Least Square Means` |
Geometric means |

`90% Confidence Interval` |
90% confidence interval of geometric mean ratio (T/R) |

`Sample Size` |
Sample size for the replication of this study |

Kyun-Seop Bae <k@acr.kr>

1 2 | ```
test2x2(NCAResult4BE, "AUClast")
test2x2(NCAResult4BE, "Cmax")
``` |

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