sample size in bioequivalence studies [Power / Sample Size]

posted by ElMaestro  – Denmark, 2017-08-03 10:17  – Posting: # 17649
Views: 13,037

Hi Daryazyatina,

» I decided to try to calculate the sample size in R with package "PowerTOST" and function sampleN.TOST()

Good choice :-D

» Comparing the results of the calculation in R and calculation with formula Shein-Chung Chow, Jun Shao and Hansheng Wang, I realized that they are different. I looked at the articles and books that this function refers to, and understand that different formulas are used.

Can you tell what your design is and which values you want to plug in for the calculation? If the difference is 2 or 4 subjects, then so be it, subtle differences in approximation may account for that. If the difference is 46 or something then I'd wonder, too. I am sure there is an explanation and that your confidence in the powerTOST package can easily be restored. Apart from that you are of course right if you intended to hint that the author of the power.TOST family of R functions is a dubious character :lol::yes::-D

if (3) 4

x=c("Foo", "Bar")
b=data.frame(x)
typeof(b[,1]) ##aha, integer?
b[,1]+1 ##then let me add 1


Best regards,
ElMaestro

“(...) targeted cancer therapies will benefit fewer than 2 percent of the cancer patients they’re aimed at. That reality is often lost on consumers, who are being fed a steady diet of winning anecdotes about miracle cures.” New York Times (ed.), June 9, 2018.

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