Potvin method B subtleties [Two-Stage / GS Designs]

posted by jdetlor – 2011-02-01 18:17 (5622 d 18:42 ago) – Posting: # 6531
Views: 31,754

Dear D Labes,

Q1: Do you think I have inserted the right alpha values?


In terms of stage 1/2 location, they look correct to me.

Q2: If yes in Q1: It may happen that in the sample size estimation step the resulting N may be lower then the sample size at stage 1, i.e. there is no stage 2 necessary. What to do then? Evaluate via stage 1 model but with alpha=alpha2=0.048 ?


Gould1 discusses the allocation of alpha between stages and specifies the critical values (and hence the alpha values) should be the same for each stage to maintain rejection consistency. The determination of alpha relates to the allocation of subjects between stages.
What complicates the above with respect to Potvin et al. is the ratio of subjects is not known for the final analysis, and thus the impact on the choice of alpha would need to be evaluated through simulation.

Q3: Do you think that the power calculation makes sense if executed with the point estimate from stage 1 instead of GMR=0.95?


Potvin et al. does mention this. I believe they reference Cui et al.2 who determine that if this approach is applied naively, it can inflate the type I error rate up to 30%.

Q4: Do you think Method B is nearer then Method C to the sentence "... The analysis of the first stage data should be treated as an interim analysis and both analyses conducted at adjusted significance levels (with the confidence intervals accordingly using an adjusted coverage probability which will be higher than 90%) ..." from the EMA guideline?


They both have interim analyses; method B evaluates BE initially, whereas method C evaluates the power, then BE. I don't know if you could say that one is closer than the other.

1)Gould AL
Group sequential extensions of a standard bioequivalence testing procedure. Journal of Pharmacokinetics and Biopharmaceutics 1995; 23:57-86.
2)Cui L, Hung MJ, Wang S-J
Modification of sample size in group sequential clinical trials. Biometrics 1999; 55:853-857.

J. Detlor

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