Why BE testing use 90 CI [General Sta­tis­tics]

posted by ElMaestro  – Belgium?, 2019-02-23 09:18 (605 d 00:11 ago) – Posting: # 19968
Views: 3,180

Hi Akash,

» Why Bioequivalence testing makes use of the 90 CI why not 95 CI which gives more accuracy?

More accuracy, what does that mean?

We have some more or less empirically justified limits of 80.00%-125.00%.
And we want a 5% risk of making the wrong conclusions in the sense of regulatory (patient's) risk; in practice this means we adopt a policy of a 5% risk of approving a product that is not BE. This is where the 90% CI comes into the equation. There is a (not more than) 5% risk associated with it (1-2*alpha).

A 95% CI would be less risky, ie. up to 2.5% chance of approving a non-BE product. Why would we want that, then alpha=5% seems to work just fine?

I could be wrong, but...

Best regards,
ElMaestro

R's base package has 274 reserved words and operators, along with 1761 functions. I can use 18 of them (about 14 of them properly). I believe this makes me the Donald Trump of programming.

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