Imbalanced cross-overs [Study Per­for­mance]

posted by Helmut Homepage – Vienna, Austria, 2014-06-06 16:47 (4398 d 01:08 ago) – Posting: # 13038
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Hi Khaoula,

❝ […] we collected the results of 15 subjects and we analyzed Kinetica without protocol for the management of dropouts


[image]We recently have submitted a paper to the AAPS J (which currently is under review). It seems that Kinetica is not able to correctly deal with imbalanced studies. I strongly suggest to use another soft­ware (we got correct results in R, Phoenix/WinNonlin, EquivTest/PK, and SAS).

❝ we had abberants results: for Cmax CV = 0,03 % for hight variable drug …


I don’t understand what you mean here. The limit for HVDs/HVDPs is 30% CV of the reference obtained in a replicate design. CVintra from a 2×2 serves only as a hint of a highly variable reference (since pooled from CVWR and CVWT).

❝ power: 50% …


A posteriori (aka post-hoc) power is irrelevant in BE. Stop calculating it.
Either the study passes, or not.

❝ with subject effect and subject/sequence effect


Subject effects are normal in a cross-over. It tells you that subjects differ – well, they should…

❝ […] the exclusion of subject N 15 have impact in the result of the study?


If evaluated by Kinetica, yes. :-(

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