The proportion in one arm achieving an outcome is 101 out of 1152 The proportion in a second arm achieving an outcome is 123 out of 1155
Baseline variables predicting this outcome are available as medians and means
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Well, for one thing, you can't account for numeric baseline variables with Fisher's test. Also, why use Fisher's exact test with such large n? – Peter Flom Feb 18 '24 at 00:23
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Does this thread https://stats.stackexchange.com/questions/259635/what-is-the-difference-using-a-fishers-exact-test-vs-a-logistic-regression-for answer your question? – Peter Flom Feb 18 '24 at 00:26
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It does answer the question somewhat. I found this link to provide a better answer for me. https://www.theanalysisfactor.com/chi-square-test-vs-logistic-regression-is-a-fancier-test-better/ – abcihep Feb 18 '24 at 03:13