On Tue, 16 Dec 2008, Peter Dalgaard wrote:

power.prop.test (sic) is relying heavily on asymptotic normality, as do similar formulas. It doesn't use continuity correction, but if you're working with such small group sizes, I suspect that the correction term is the least of your worries and that direct simulation would be better.


In fact, for tests in 2x2 tables, it is fairly straightforward and fast to 
compute the entire sampling distribution explicitly, over a grid of parameter 
values.

This gives the exact power (under alternatives) and the exact Type I error 
(under null). You can also compare different tests and see how much the 
continuity correction moves the actual Type I error rate away from the nominal 
rate.

       -thomas

Thomas Lumley                   Assoc. Professor, Biostatistics
tlum...@u.washington.edu        University of Washington, Seattle

______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to