regarding fisher v alternatives
-i’d say the speed of pearson is not a deciding factor, unless eg you have a macro to produce a standard table 1 and there’s a risk that the user mispecifies a continuous variable in the macro call, then fisher will cause sas to hang rather than simply fail, or if you’re doing simulations eg for power estimation and have to run fisher thousands of times, although i’ve done that before in sas and it wasn’t so bad (incidentally, I ran exact wilcoxon in proc npar1way recently and it hangs, i’d avoid it for any reasonable n)
-regarding the conservative p-value, this might be an argument for, rather than against eg in a standrad table 1 with many dichotomous patient characteristics (presence/absence of conditions), if the client demands p-values it may be a cautious (ie devious) way for the statistician to discourage the client from overreacting to pvals?
-regarding conditioning on the number of events, you persauded me on bayes. I checked the statsexchange link and one of the SiM papers and they don’t mention the bayes option. I found this paper: Comparison of Three Calculation Methods for aBayesian Inference of P(π1 > π2). They suggest the exact method is difficult to implement in sas and suggest mcmc method instead
thanks for the video, i passed it onto colleagues