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Hi jdfr,
Xbarijk. is very simple:
Let us say you look at the 8th unit from batch 2 of the ref product. Let us say that you are coding ref as k=1 (which would most likely imply that you code Test as k=2). So we are looking at samples with i=8, j=2 k=1.
Assume on the ln-scale you have three measurements:
Beginning: 1.6
Middle: 1.8
End: 1.7
Let us further say you code Beginning as s=1, middle as s=2, end as s=3.
So, in fact you have
X8211=1.6
X8212=1.8
X8213=1.7
Averaging across stages you get Xbarijk.=1.7.
This is the average observation across stages for that specific unit in question.
Of course in FDA's sample set they did not code units nicely as i=1,2,3... It is up to you to handle that part. Same for batches, stages.
❝ I was wondering if that would be the way to calculate it, but it seems it isn't. Do you have any clarification on this topic?
Xbarijk. is very simple:
Let us say you look at the 8th unit from batch 2 of the ref product. Let us say that you are coding ref as k=1 (which would most likely imply that you code Test as k=2). So we are looking at samples with i=8, j=2 k=1.
Assume on the ln-scale you have three measurements:
Beginning: 1.6
Middle: 1.8
End: 1.7
Let us further say you code Beginning as s=1, middle as s=2, end as s=3.
So, in fact you have
X8211=1.6
X8212=1.8
X8213=1.7
Averaging across stages you get Xbarijk.=1.7.
This is the average observation across stages for that specific unit in question.
Of course in FDA's sample set they did not code units nicely as i=1,2,3... It is up to you to handle that part. Same for batches, stages.
—
Pass or fail!
ElMaestro
Pass or fail!
ElMaestro
Complete thread:
- Population BE [PBE] jdfr 2024-12-05 16:34 [Regulatives / Guidelines]
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