More information, please [Study As­sess­ment]

posted by Helmut Homepage – Vienna, Austria, 2016-05-12 16:34 (2953 d 16:29 ago) – Posting: # 16299
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Hi Angus,

❝ We have completed a dose proportionality study using the lowest strength to the highest strength of a modified release formulation of a class I drug. The approach used was the usual cross-over design with 20 subjects (AB, BA) and dose normalized the PK parameters Cmax and AUC0-T prior to bioequivalence. No problem we are BE comfortably within the limits (0.8-1.25).


Testing only two levels for dose proportionality is somewhat unconventional.

❝ Another worker has used the power model with the same data set for dose proportionality […]



Does it look like this (high dose = 8× low dose)?

[image]


❝ The point estimates are much the same as my approach, […]



Numbers? AUC only – Cmax is of limited value in DP.

❝ […] but he quotes 98% CI.


Smells of Bonferroni’s adjustment for four simultaneous (and independent) tests in order to control the familywise error rate: 100(1–2α/4) = 97.5% CI and FWER 1–(1–α)4 = 0.0491.
In the power model we have only two parameters (the coefficient α and the exponent β: E[D] = α·D β (independent from the number of dose levels tested) and we are interested only in β. I don’t see why a multiplicity-adjustment was done.

❝ His CI values are also within the lmits.


How did he get a CI of β? With two dose levels we have zero degrees of freedom for a model with two para­meters.

Before we can discuss variances, we need more information.

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