test2x2 | R Documentation |
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
.
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>
test2x2(NCAResult4BE, "AUClast") test2x2(NCAResult4BE, "Cmax")
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