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replicateBE (version 1.1.3)

refdata: Reference Datasets

Description

Datasets of replicate designs from the public domain, edited, or obtained by simulations to be evaluated by method.A(), method.B(), or ABE().

Arguments

Details

Design Specification Dataset N (%) Evaluation
TRTR|RTRT full rds01 77 >30 method.A(), method.B()
TRTR|RTRT full rds06 77 >30 method.A(), method.B()
TRTR|RTRT full rds12 77 >30 method.A(), method.B()
TRTR|RTRT full rds14 77 >30 method.A(), method.B()
TRTR|RTRT full rds18 77 >30 method.A(), method.B()
TRTR|RTRT full rds21 77 >30 method.A(), method.B()
TRTR|RTRT full rds19 61 >30 method.A(), method.B()
TRTR|RTRT full rds20 61 >30 method.A(), method.B()
TRTR|RTRT full rds08 222 >30 method.A(), method.B()
TRTR|RTRT full rds09 222 >30 method.A(), method.B()
TRTR|RTRT full rds13 222 >30 method.A(), method.B()
TRTR|RTRT full rds15 222 >30 method.A(), method.B()
TRTR|RTRT full rds25 70 >30 method.A(), method.B()
TRTR|RTRT full rds29 12 <30 method.A(), method.B(), ABE()
TRRT|RTTR full rds26 54 >30 method.A(), method.B()
TRRT|RTTR full rds05 26 <30 method.A(), method.B(), ABE()
TRRT|RTTR full rds11 37 >30 method.A(), method.B()
TRRT|RTTR full rds16 38 >30 method.A(), method.B()
TTRR|RRTT full rds28 64 <30 method.A(), method.B(), ABE()
TRTR|RTRT|TRRT|RTTR full rds23 22 >30 method.A(), method.B()
TRRT|RTTR|TTRR|RRTT full rds24 39 >30 method.A(), method.B()
TRT|RTR full rds03 77 >30 method.A(), method.B()
TRT|RTR full rds17 19 >30 method.A(), method.B()
TRR|RTT full rds10 18 <30 method.A(), method.B(), ABE()
TR|RT|TT|RR Balaam<U+2019>s rds27 312 >30 method.A(), method.B()
TRR|RTR|RRT partial rds02 24 <30 method.A(), method.B(), ABE()
TRR|RTR|RRT partial rds04 51 >30 method.A(), method.B()
TRR|RTR|RRT partial rds07 360 >30 method.A(), method.B()
TRR|RTR|RRT partial rds30 14 <30 method.A(), method.B(), ABE()

In full replicate designs both R and T are administered twice (in 3-period designs to <U+00BD> of the subjects). Balaam<U+2019>s design is a mixture of a conventional crossover (<U+00BD> of the subjects) and a replicate design (<U+00BC> of the subjects receive either R or T twice). In partial replicate designs only R is administered twice.

References

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

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

Shumaker RC, Metzler CM. The Phenytoin Trial is a Case Study of ‘Individual’ Bioequivalence. Drug Inf J. 1998; 32(4): 1063--72. 10.1177/009286159803200426

Chow SC, Liu JP. Design and Analysis of Bioavailability and Bioequivalence Studies. Boca Raton: CRC Press; 3 edition 2009. p275.

Hauschke D, Steinijans VW, Pigeot I. Bioequivalence Studies in Drug Development. Chichester: John Wiley; 2007. p216.

Patterson SD, Jones B. Bioequivalence and Statistics in Clinical Pharmacology. Boca Raton: CRC Press; 2 edition 2016. p105--6.

U.S. Food and Drug Administration, Center for Drug Evaluation and Research. Bioequivalence Studies. Rockville, 1997. bioequivalence study files (archived 2017-07-23)

See Also

4-period full replicates TRTR.RTRT, TRRT.RTTR, TTRR.RRTT, TRTR.RTRT.TRRT.RTTR, TRRT.RTTR.TTRR.RRTT 2-period replicate (Balaam<U+2019>s design) TR.RT.TT.RR 3-period full replicates TRT.RTR, TRR.RTT 3-period partial replicates TRR.RTR.RRT, TRR.RTR

Examples

Run this code
# NOT RUN {
# show structure of all data sets
ds <- substr(grep("rds", unname(unlist(data(package = "replicateBE"))),
                  value = TRUE), start = 1, stop = 5)
for (i in seq_along(ds)) {
  cat(ds[i], "\n")
  str(eval(parse(text = ds[i])))
}
# }

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