Hello! Dear all, I need some help with replicate design.
Is it common practice to iteratively adjust α (Type I Error)?
is there an information about this in the guidelines?
And can I adjust α using Phoenix winnonlin?
Posted 01 March 2018 - 12:31 PM
Hello! Dear all, I need some help with replicate design.
Is it common practice to iteratively adjust α (Type I Error)?
is there an information about this in the guidelines?
And can I adjust α using Phoenix winnonlin?
Best regards,
Veronika
Posted 17 March 2018 - 04:07 PM
Hi Veronika,
Is it common practice to iteratively adjust α (Type I Error)?
No. In the meantime a few companies do it regularly. If your estimated CVwR is outside the “critical range” of ~22–43% you don’t have to worry about an inflated TIE anyhow.
is there an information about this in the guidelines?
No.
And can I adjust α using Phoenix winnonlin?
Theoretically yes. Though I never tried it and would not recommend it. I guess it would be as least as time-consuming than in SAS – which is easily >1000times slower than by means of the R-package PowerTOST, function scABEL.ad().
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