The EMA’s ‘Data set I’ is incomplete [Regulatives / Guidelines]
Hi Loky do,
No. However, inspect the EMA’s ‘Data set I’ (TRTR|RTRT with 77 subjects) published in the Q&A document. Although it was fabricated by David Brown of the MHRA (at that time member of the Biostatistics Working Party) in collaboration with the Pharmacokinetics Working Party, likely it reflects what regulators have seen in the past and obviously is acceptable.
The data set is incomplete with missings not only in the last period. Eight subjects ‘returned’ after missed periods:$$\small{\begin{array}{ccccccccc}
\hline
\text{Subject} & \text{Missed period(s)} & \text{Missed treatment(s)} & \text{`Returned' period} & n_\textrm{R} & n_\textrm{T} & \text{1. BE} & 2.\;CV_\textrm{wR} & 3.\;CV_\textrm{wT}\\
\hline
11 & 3 & \text{T} & 4 & 2 & 1 & + & + & -\\
20 & 3 & \text{T} & 4 & 2 & 1 & + & + & -\\
24 & 2 & \text{R} & 3 & 1 & 2 & + & - & +\\
31 & 3 & \text{R} & 4 & 1 & 2 & + & - & +\\
42 & 3 & \text{T} & 4 & 2 & 1 & + & + & -\\
67 & \text{3, 4} & \text{R, T} & - & 1 & 1 & + & - & -\\
69 & 3 & \text{T} & 4 & 2 & 1 & + & + & -\\
71 & \text{3, 4} & \text{T, R} & - & 1 & 1 & + & - & -\\\hline
& \text{2: 1, 3: 7, 4: 2} & \text{R: 4, T: 6} & &\text{2: 4, 1: 4} & \text{2: 2, 1: 6} & & & \\
\hline
\end{array}}$$I agree with Dshah’s post.
Example using the package’s first internal reference data set evaluated by ‘Method A’ (all effects fixed):
Relevant part of the file
Without writing to a file:
❝ is it mentioned in guidelines?
No. However, inspect the EMA’s ‘Data set I’ (TRTR|RTRT with 77 subjects) published in the Q&A document. Although it was fabricated by David Brown of the MHRA (at that time member of the Biostatistics Working Party) in collaboration with the Pharmacokinetics Working Party, likely it reflects what regulators have seen in the past and obviously is acceptable.
The data set is incomplete with missings not only in the last period. Eight subjects ‘returned’ after missed periods:$$\small{\begin{array}{ccccccccc}
\hline
\text{Subject} & \text{Missed period(s)} & \text{Missed treatment(s)} & \text{`Returned' period} & n_\textrm{R} & n_\textrm{T} & \text{1. BE} & 2.\;CV_\textrm{wR} & 3.\;CV_\textrm{wT}\\
\hline
11 & 3 & \text{T} & 4 & 2 & 1 & + & + & -\\
20 & 3 & \text{T} & 4 & 2 & 1 & + & + & -\\
24 & 2 & \text{R} & 3 & 1 & 2 & + & - & +\\
31 & 3 & \text{R} & 4 & 1 & 2 & + & - & +\\
42 & 3 & \text{T} & 4 & 2 & 1 & + & + & -\\
67 & \text{3, 4} & \text{R, T} & - & 1 & 1 & + & - & -\\
69 & 3 & \text{T} & 4 & 2 & 1 & + & + & -\\
71 & \text{3, 4} & \text{T, R} & - & 1 & 1 & + & - & -\\\hline
& \text{2: 1, 3: 7, 4: 2} & \text{R: 4, T: 6} & &\text{2: 4, 1: 4} & \text{2: 2, 1: 6} & & & \\
\hline
\end{array}}$$I agree with Dshah’s post.
- For ABE – or ABEL if applicable – all subjects with at least one T and R treatment.
- For the estimation of \(\small{CV_\textrm{wR}}\) (required to decide whether ABEL can be applied and, if yes, calculation of the expanded limits) subjects 24, 31, 67, and 71 excluded.
- Since this is a fully replicated design: For the estimation of \(\small{CV_\textrm{wT}}\) (not required by agencies but useful information) subjects 11, 20, 42, 67, 69, and 71 excluded.
replicateBE
#1 – #3 is performed automatically.Example using the package’s first internal reference data set evaluated by ‘Method A’ (all effects fixed):
library(replicateBE)
method.A(data = rds01)
Relevant part of the file
DS01_ABEL_MethodA.txt
written to tempdir()
:Sequences (design) : TRTR|RTRT (4-period full replicate)
Subjects / sequence: 39|38 (unbalanced)
Missings / sequence: 7|3 (incomplete)
Missings / period : 0|1|7|2 (incomplete)
Subjects (total) : 77
Subj’s with T and R: 77 (calculation of the CI)
Subj’s with two Ts : 71
Subj’s with two Rs : 73
Degrees of freedom : 217
CVwT : 35.16%
swT : 0.34138
CVwR : 46.96% (reference-scaling applicable)
swR : 0.44645
Expanded limits : 71.23% ... 140.40% [100exp(±0.760·swR)]
Confidence interval: 107.11% ... 124.89% pass
Point estimate : 115.66% pass
Mixed (CI & PE) : pass
Without writing to a file:
library(replicateBE)
x <- method.A(data = rds01, print = FALSE, details = TRUE)
# round full precision results
x[c(11:14)] <- signif(x[c(11:14)], 4)
x[c(19:21)] <- round(x[c(19:21)], 2)
print(x[c(1, 6:8, 3:5, 11, 13, 12, 14, 19:21)], row.names = FALSE) # relevant stuff reordered
Design Sub/seq Miss/seq Miss/per n nTT nRR CVwT(%) swT CVwR(%) swR CL.lo(%) CL.hi(%) PE(%)
TRTR|RTRT 39|38 7|3 0|1|7|2 77 71 73 35.16 0.3414 46.96 0.4464 107.11 124.89 115.66
—
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Helmut Schütz
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Dif-tor heh smusma 🖖🏼 Довге життя Україна!
Helmut Schütz
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- dropouts in replicate studies Loky do 2021-09-23 14:54 [Regulatives / Guidelines]
- dropouts in replicate studies dshah 2021-09-23 19:28
- The EMA’s ‘Data set I’ is incompleteHelmut 2021-09-24 11:36
- The EMA’s ‘Data set I’ is incomplete Loky do 2021-09-25 22:01