Type I error inflation caused by batch-to-batch variability of Reference? [Design Issues]

posted by Helmut Homepage – Vienna, Austria, 2016-10-24 19:12 (3537 d 05:41 ago) – Posting: # 16752
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Hi David,

you raised good points!

❝ Batch-to-batch variability is "random noise" imo, …


Yep. At least the EMA’s BE-GL specifically asks for products which are “similar” in their measured content (Δ ≤5%). Of course – due to inaccuracy/imprecision of the analytical method – even “suitable” batches might have a larger true difference. However, this will not affect the Type I Error – only increases the producer’s risk; Type II Error).

Is the risk for a patient to switch from Reference to Test substantially larger than between different batches of the reference (which happens all the time)? Duno. Educated guess: No.*
We must not forget that batch-to-batch variability (if theoretically tested in BE studies powered at 80%) will lead to failure in 1/5 of studies. And: Failure to demonstrate BE does not imply inequivalence.
IIRC, at the BioInternational ’94 (Munich) Les Benet suggested small (n=6) BE-studies evaluated by Bayesian methods for batch-release. Was not further considered due to the shouts of innovators. ;-)



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