TRR.RTT {replicateBE} | R Documentation |
Reference Dataset for TRR|RTT Replicate Designs
Description
Dataset from the public domain to be evaluated by method.A()
, method.B()
, or ABE()
.
Usage
rds10
Format
Reference Dataset 10
18 subjects.
Balanced (nine subjects in both sequences) and complete. No outliers.
A data frame with 54 observations on the following 5 variables:- rds10
-
subject
a factor with 18 levels: 1, 2, ..., 18 period
a factor with 3 levels: 1, 2, 3 sequence
a factor with 2 levels: TRR, RTT treatment
a factor with 2 levels: T, R PK
a numeric vector of pharmacokinetic responses (here AUC)
Details
Dataset | N | CVwR (%) | Evaluation |
rds10 | 36 | <30 | method.A() , method.B() , ABE()
|
Note
In software sequences and treatments are ranked in lexical order. Hence, executing str()
or summary()
will show sequence
as "RTT", "TRR"
and treatment
as "R", "T"
. In BE – by convention – sequences are ordered with T
first. The package follows this convention.
In analogy to the EMA’s Q&A: Uncertain estimate of CVwR
since less than twelve subjects in sequence TRR.
Source
Dataset | Origin | Description |
rds10 | Chow & Liu | AUC data given in Table 9.3.3. |
References
Chow SC, Liu JP. Design and Analysis of Bioavailability and Bioequivalence Studies. Boca Raton: CRC Press; 3rd edition 2009. p275.
Examples
str(rds10)
row <- c(1:3, 28:30)
rds10[row, ]
summary(rds10[2:5])