

Hi, 
I'm try to compute the minimum sample size needed to have at least an 80% of power, with alpha=0.05. The problem is that empirical proportions are really small: 0.00154 in one case and 0.00234. These are the estimated failure proportion of two medical treatments.
Thomas and Conlon (1992) suggested Fisher's exact test and proposed a computational method, which according to their table gives a sample size of roughly 20000. Unfortunately I cannot find any software applying their method.
-Does anyone know how to estimate sample size on Fisher's exact test by using R?
-Even better, does anybody know other, maybe optimal, methods for such a situation (small p1 and p2) and the corresponding R software? 

Thanks in advance,
Giulio


 		 	   		  
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