Sample size, alpha, beta, beta/2 and that all [General Sta­tis­tics]

posted by Astea – Russia, 2015-02-07 13:53 (3746 d 05:26 ago) – Posting: # 14387
Views: 9,657

Dear d_labes!

Thanks a lot for your explanations!

❝ don't fiddle too much with the formulas given by Chow, Wang and who ever co-authors. There are many typing errors or hidden, not explained assumptions in the mentioned paper and book.


I naively thought it was one the best books on sample size calculations in clinical trials? Nevertheless I didn't understand why they used z_alpha=1.96 for alpha =0.05...

❝ All other ways are more or less approximations to tackle the problem avoiding the not so easy power calculations. But in the ages where PowerTOST is available there is no need for such approximations :-).


Yes, your Brainchild is very helpful and irreplaceable!

❝ These attempts are only useful for obtaining a reasonable start value for 'brute force'. As such they are used within PowerTOST.


Does exact Owen's method in general do the same?

❝ Have a look at

Paul Zhang (2003)

"A Simple Formula for Sample Size Calculation in Equivalence Studies"

❝ Journal of Biopharmaceutical Statistics, 13:3, 529-538


❝ to get the formulas used (including z1-ß or z1-ß/2 and such things).


Yes, they use the more crafty formula, introducing function varying coefficients before beta...

"Being in minority, even a minority of one, did not make you mad"

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