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replicateBE (version 1.1.3)

TRR.RTR.RRT: Reference Datasets for TRR|RTR|RRT (partial) Replicate Designs

Description

Datasets from the public domain or simulated to be evaluated by method.A(), method.B(), or ABE().

Arguments

Format

  • Reference Dataset 02 24 subjects. Balanced (eight subjects in each of the three sequences) and complete (no missing data). No outliers. A data frame with 72 observations on the following 6 variables:

    rds02

    subject a factor with 24 levels: 1, 2, …, 24
    period a factor with 3 levels: 1, 2, 3
    sequence a factor with 3 levels: TRR, RTR, RRT
    treatment a factor with 2 levels: T, R
    PK a numeric vector of pharmacokinetic responses acceptable for reference-scaling (generally )

    In the source evaluated by SAS v9.1 for ABEL. Reported results:
    SAS Proc GLM

    CVwR 11.2%
    PE 102.26% (Method A and B)

  • Reference Dataset 04 Data set of Table II given by Patterson & Jones. 51 subjects. Balanced (17 subjects in each of the three sequences) and complete. No outliers. A data frame with 153 observations on the following 5 variables:

    rds04

    subject a factor with 51 levels: 1, 2, …, 56
    period a factor with 3 levels: 1, 2, 3
    sequence a factor with 3 levels: TRR, RTR, RRT
    treatment a factor with 2 levels: T, R

    In the source evaluated by SAS with the FDA<U+2019>s mixed effects model (termed Method C by the EMA; not compatible with the guideline). Reported results:
    SAS Proc MIXED

    CVwR 61%
    PE 137%

  • Reference Dataset 07 Simulated with = = 35%, GMR 0.90. 360 subjects. Balanced (120 subjects in each of the three sequences) and complete. No outliers. A data frame with 1,080 observations on the following 5 variables:

    rds07

    subject a factor with 360 levels: 1, 2, …, 360
    period a factor with 3 levels: 1, 2, 3
    sequence a factor with 3 levels: TRR, RTR, RRT
    treatment a factor with 2 levels: T, R

  • Reference Dataset 30 Simulated with heteroscedasticity (), GMR = 0.90. 12 subjects. 14 subjects. Imbalanced (six subjects in sequence TRR, five in RTR, and three RRT) and incomplete (two missings in sequences TRR and RTR and three in sequence RRT). Missings / period: 0/1, 0/2, 7/3. No outliers. A data frame with 35 observations on the following 5 variables:

    rds30

    subject a factor with 14 levels: 1, 2, …, 39
    period a factor with 3 levels: 1, 2, 3
    sequence a factor with 3 levels: TRR, RTR, RRT
    treatment a factor with 2 levels: T, R

Details

Dataset N (%) Evaluation
rds02 24 <30 method.A(), method.B(), ABE()
rds04 51 >30 method.A(), method.B()
rds07 360 >30 method.A(), method.B()

References

European Medicines Agency. London, 21 September 2016. Annex I, Annex III.

Patterson SD, Jones B. Viewpoint: observations on scaled average bioequivalence. Pharm Stat. 2012; 11(1): 1--7. 10.1002/pst.498

Examples

Run this code
# NOT RUN {
str(rds02)
row <- c(10:12, 1:3, 16:18)
rds02[row, ]
summary(rds02[2:6])
# }

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