| 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
-
subjecta factor with 18 levels: 1, 2, ..., 18 perioda factor with 3 levels: 1, 2, 3 sequencea factor with 2 levels: TRR, RTT treatmenta factor with 2 levels: T, R PKa 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])