Why CVinter? [Power / Sample Size]

posted by Helmut Homepage – Vienna, Austria, 2013-12-11 16:04 (4572 d 20:20 ago) – Posting: # 12035
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Hi Oiinkie,

❝ The reference product is known to have a low intra-subject variability, but a very high inter-subject variability.


CVs of the product? Do you have data of a replicate study?

❝ […] one of the aims of the pilot PK study would be to assess and compare inter-subject variability of test and reference product.


Hhm, why CVinter? Speaking cross-over only CVintra is relevant. I performed studies with CVinter of ~60%, where BE was shown in 12 subjects (due to CVintra ~10%). I have seen some anecdotal (!) reports that high standardization (i.e., inclusion criteria, sex, narrow BMI,…) reduced CVintra as well. I’m somewhat skeptical. IMHO that would only work for high correlation between the variance components. I don’t see a physiological basis for that.

❝ What kind of setup would you recommend for such a study (e.g. standard 2x2 crossover)?


Still not clear to me whether and why you are interested in the CVs of the products. In order to get CVWR and CVWT you would need a fully replicated design (TRT|RTR or TRTR|RTRT). For CVBR and CVBT I guess you would have to perform the study in two groups. Don’t ask me for the model. Maybe some ideas by other members?

❝ What sample size would be appropriate?


Define appropriate. :-D

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