@Jack2012 wrote: (...) Why set the different beta values. And still can't connect these values. Generally, we specify a fixed power, i.e. 1-beta, then calculate the size and the corresponding "Early stop probability for efficacy at stage 1", but now this logic seems not workable.
To me it looks like the authors tried to replicate the power values (0.80, 0.84, ..., 0.96 -- possibly, rounded to three decimals, these were really 0.799, 0.837, ..., 0.957?) from the "Classical Design with pessimistic d" using the "Group Sequential Design with pessimistic d" in order to obtain "Average Sample Size" values comparable to the (constant) "Total Sample Size" of the classical design.
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