## FARTSSIE v2.7 [Software]

Hi DShah,

» Still struggling with installation of R in organization …

It’t high time for your organization to learn that you need the right tools to perform your job.

I suppose it is tempting, if the only tool you have is a hammer,
to treat everything as if it were a nail.
Abraham H. Maslow (Toward a Psychology of Being, 1962)

» … and because of that I had asked for Sample size for NTI- FDA method in excel.

You would need to simulate 100,000 studies in each iteration (cause you will not hit the target with a lucky punch). I don’t say that’s impossible in Excel. But why the hell would one do that, if PowerTOST can give you the result in less than a second?

library(PowerTOST) st <- proc.time()[[3]] sampleN.NTIDFDA(CV = 0.1, theta0 = 0.975, targetpower = 0.8, design = "2x2x4") cat("Runtime:",  proc.time()[[3]] - st, "seconds\n") +++++++++++ FDA method for NTIDs ++++++++++++            Sample size estimation --------------------------------------------- Study design:  2x2x4 (TRTR|RTRT) log-transformed data (multiplicative model) 1e+05 studies for each step simulated. alpha  = 0.05, target power = 0.8 CVw(T) = 0.1, CVw(R) = 0.1 True ratio     = 0.975 ABE limits     = 0.8 ... 1.25 Implied scABEL = 0.8000 ... 1.2500 Regulatory settings: FDA - Regulatory const. = 1.053605 - 'CVcap'           = 0.2142 Sample size search  n     power 14   0.717480 16   0.788690 18   0.841790 Runtime: 0.24 seconds

Dif-tor heh smusma 🖖
Helmut Schütz

The quality of responses received is directly proportional to the quality of the question asked. 🚮
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