refdata {replicateBE}R Documentation

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().

Details

Design Specification Dataset N CVwR (%) 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’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()
TRR|RTR partial rds22 36 >30 method.A(), method.B()

In full replicate designs both R and T are administered twice (in 3-period designs to ½ of the subjects).
Balaam’s design is a mixture of a conventional crossover (½ of the subjects) and a replicate design (¼ of the subjects receive either R or T twice).
In partial replicate designs only R is administered twice.

Author(s)

Helmut Schütz (R-code for simulations by Detlew Labes), Michael Tomashevskiy (simulations in Phoenix NLME)

Source

Dataset Origin Description
rds01 EMA Data set in Annex II
rds06 rds01 edited T and R switched
rds12 Phoenix NLME Simulated with extreme variability
rds14 Phoenix NLME Simulated with high variability and number of dropouts increasing with period
rds18 rds14 edited Removed T data of subjects 63–78
rds21 rds01 edited One extreme result of subjects 45 & 52 set to NA
rds19 rds18 edited Removed data of subjects 63–78
rds20 rds19 edited Outlier of R (subject 1) introduced: original value ×100
rds08 R Simulated with slight heteroscedasticity
rds09 rds08 Wide numeric range (data of last 37 subjects multiplied by 1,000,000)
rds13 rds08 edited Highly incomplete (approx. 50% of period 4 data deleted)
rds15 rds08 edited Highly incomplete (approx. 50% of period 4 data coded as missing 'NA')
rds25 R Simulated with heteroscedasticity
rds29 R Simulated with heteroscedasticity; imbalanced and incomplete
rds26 Patterson & Jones 2016 Cmax data given in Tables 4.30 & 4.31
rds05 Shumaker & Metzler Cmax data given in the Appendix
rds11 Hauschke et al. Cmax data given in Table 9.6.
rds16 FDA, CDER Cmax data of Drug 14a
rds28 R Simulated with homoscedasticity
rds23 FDA, CDER Cmax data of Drug
rds24 FDA, CDER Cmax data of Drug 1
rds03 rds01 edited Period 4 removed
rds17 rds03 edited Highly unbalanced (twelve subjects in RTR and seven in TRT)
rds10 Chow & Liu AUC data given in Table 9.3.3.
rds27 R Simulated with homoscedasticity
rds02 EMA Data set in Annex III
rds04 Patterson & Jones 2012 Cmax data of Table II
rds07 R Simulated with homoscedasticity
rds30 R Simulated with heteroscedasticity; imbalanced and incomplete
rds22 R Simulated with homoscedasticity

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. doi: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. doi:10.1177/009286159803200426

Chow SC, Liu JP. Design and Analysis of Bioavailability and Bioequivalence Studies. Boca Raton: CRC Press; 3rd 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; 2nd 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’s design)
TR.RT.TT.RR
3-period full replicates
TRT.RTR, TRR.RTT
3-period partial replicates
TRR.RTR.RRT, TRR.RTR

Examples

# 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])))
}

[Package replicateBE version 1.1.3 Index]