TRR.RTT: Reference Dataset for TRR|RTT Replicate Designs

TRR.RTTR 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])

replicateBE documentation built on May 3, 2022, 1:06 a.m.