TRT.RTR {replicateBE} | R Documentation |
Reference Datasets for TRT|RTR Replicate Designs
Description
Datasets from the public domain and edited to be evaluated by method.A()
and/or method.B()
.
Format
Reference dataset 03
Based onrds01
. Removed all data of period 4. 77 subjects.
Unbalanced (39 subjects in sequence TRT and 38 in RTR) and incomplete (six missings in sequence TRT and two in RTR). Missings / period: 0/1, 1/2, 7/3. Two outliers (subjects 45 and 52) in sequence RTR.
A data frame with 223 observations on the following 6 variables:- rds03
-
subject
a factor with 77 levels: 1, 2, ..., 78 period
a factor with 3 levels: 1, 2, 3 sequence
a factor with 2 levels: TRT, RTR treatment
a factor with 2 levels: T, R PK
a numeric vector of pharmacokinetic responses acceptable for reference-scaling (generally Cmax)
Reference dataset 17
Based onrds03
. 19 subjects.
Unbalanced (seven subjects in sequence TRT and twelve in RTR) and incomplete (one missing in sequence TRT). Missings / period: 0/1, 0/2, 1/3. One outlier (subject 18) in sequence RTR.
A data frame with 56 observations on the following 6 variables:- rds17
-
subject
a factor with 19 levels: 1, 2, ..., 22 period
a factor with 3 levels: 1, 2, 3 sequence
a factor with 2 levels: TRT, RTR treatment
a factor with 2 levels: T, R PK
a numeric vector of pharmacokinetic responses acceptable for reference-scaling (generally Cmax)
Details
Dataset | N | CVwR (%) | Evaluation |
rds03 | 77 | >30 | method.A() , method.B() |
rds17 | 19 | >30 | method.A() , method.B()
|
Note
In software sequences and treatments are ranked in lexical order. Hence, executing str()
or summary()
will show sequence
as "RTR", "TRT"
and treatment
as "R", "T"
. In BE – by convention – sequences are ordered with T
first. The package follows this convention.
Author(s)
Helmut Schütz
Source
Dataset | Origin | Description |
rds03 | rds01 edited | Period 4 removed. |
rds17 | rds03 edited | Highly unbalanced (seven subjects in TRT and twelve in RTR). |
Examples
head(rds03, 6)
summary(rds03[2:5])