“Interim power” [Two-Stage / GS Designs]

posted by Helmut Homepage – Vienna, Austria, 2013-10-08 16:58 (4210 d 09:48 ago) – Posting: # 11627
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Hi Karthik,

❝ After completion of stage 1 we want to evaluate the power. If power is >= 80 evaluate BE at stage 1 (alpha=0.05) and if power < 80% evaluate BE at stage 1 (alpha=0.0294)


Yes, that’s “Method C”.

❝ After evaluation of power only we can plan further step.


Correct.

❝ In most of your lecture and discussion you mentioned No a posteriori Power.


That’s not a posteriori power, but part of the decision tree of the interim analysis. A posteriori would be after the study is completed (passing in stage 1 or in the combined analysis). See also what Potvin et al. state concerning their Example 2:

Using the data from both stages, we find that the two-sided CI for the ratio (T/R) of geometric means at an α level of 0.0294 and DF = 17 is 88.45–116.38%, which meets the 80–125% acceptance criterion. We stop here and conclude BE, irrespective of the fact that we have not yet achieved the desired power of 80% (power = 66.3%).

(my emphasis)

❝ So In two stage study design how to evaluate the Power for our data.


After stage 1

❝ Any validated method is there to evaluate the power for two stage study design or can I use PowerTOST or Winnonlin to evaluate the power.


PowerTOST is fine (see this example for Method B). Power in Phoenix/WinNonlin is wrong – don’t use it!

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