TRR.RTT | R Documentation |
Dataset from the public domain to be evaluated by method.A()
, method.B()
, or ABE()
.
rds10
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:
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) |
Dataset | N | CVwR (%) | Evaluation |
rds10 | 36 | <30 | method.A() , method.B() , ABE()
|
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.
Dataset | Origin | Description |
rds10 | Chow & Liu | AUC data given in Table 9.3.3. |
Chow SC, Liu JP. Design and Analysis of Bioavailability and Bioequivalence Studies. Boca Raton: CRC Press; 3rd edition 2009. p275.
str(rds10) row <- c(1:3, 28:30) rds10[row, ] summary(rds10[2:5])
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