Problems resolved? [Study Per­for­mance]

posted by Helmut Homepage – Vienna, Austria, 2014-06-11 04:01 (3601 d 08:43 ago) – Posting: # 13057
Views: 16,569

Hi Khaoula!

❝ […] I havnt randomisation because they dont give me it, they asked me to try to understand where is the error, […]



May I ask: Who are “they”?

❝ […] our design is't appropriate (must have replicate design), […]



Not necessarily. Only if you want to widen the acceptance range (EMA) or go with reference-scaling (FDA). But if CVWR <30% scaling is not allowed.

❝ […] the problem of our study is number of subject, […]



Mainly. If we assume the T/R-ratio and CV “as carved in stone” – which I would not recommend anyway – you would have needed the following sample sizes in order to demonstrate BE with 80% power:

design  method                     sample size
2×2×2   unscaled (80–125%)            630
2x2×3   fully replicated unscaled     472
2×2×4   fully replicated unscaled     316
2x2x3   scaled (EMA)                  474
2×2×4   scaled (EMA)                  316
2x2x3   scaled (FDA)                  474
2×2×4   scaled (FDA)                  318


Note that reference-scaling would not help with such a low CV.

You have a lot of problems arising from the study:

❝ the test drug is really bioequivalent of réference, […]



Why do you think so? You would need hundreds of subjects to squeeze the CI within the acceptance range.

❝ this study was done to learn how to do biequivalennce study


Can you briefly summarize what you have learned?

A drug is that substance which, when injected into a rat,
   will produce a scientific report.
    Anonymous


Pharmacokinetics: one of the magic arts of divination
   whereby needles are stuck into dummies in an attempt
   to predict profits.
    Stephen Senn


❝ I calculated CV with error = 0.0471261 and I had CV% = 100√(ℯ0.0471261 – 1) = 21.97% but I thought that I was wrong


So instead of following a formula given in numerous papers and textbooks you rather trusted in the output of a piece of software?

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