Futility rule? [Study As­sess­ment]

posted by ElMaestro  – Denmark, 2013-07-29 14:46 (4716 d 19:46 ago) – Posting: # 11106
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Hi Hötzi,

Same? Would you buy such a Bangkok Rolex-replica?


Haha, I don't know what to think. I was mainly addressing the numbers, hoping they reflected the actual and reported study results. Whether or not 81 equals 96 appears to be a subjective matter. But when women call their friends and tell you they are just going to chat for 5 minutes then you can, as a rule of thumb, be very sure that 5 equals 60 or more.

❝ Can you elaborate? I think it was very courageous to proceed with a PE of 81% for AUCt to a pivotal study.


No doubt about that, and you are now almost too generously using terms from the positively charged heap. If my clients get a PE of 81% in a pilot then I would recommend that the plug be pulled. To be honest, I think this was a case of mild dumb luck.
Sam, I am not saying this to offend you, and if you take offence then I apologise and will offer to revise my post. But the decision to move forward after a pilot having PE=81% was simply a bad one from a scientific/ethical perspective, even though it in hindsight worked in your favour.

In the subsequent pilot-pivotal trial pair the opposite phenomenon was observed.

What I meant with the two-stage comment was that sometimes pilots do not reflect pivotals, and there could be different reasons for it. With OIPs, for example, products can change a lot over time and no-one really knows what this implies for the in vivo situation. But it suggests that sometimes the value of a pilot trial can be questionable if there is a large time span between the pilot and the pivotal (assuming same batches were used), and hence my question about this aspect.

Pass or fail!
ElMaestro

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