PulmCrit- Interpreting a 2×2 table using fragility, p-values, and maximal Bayes Factor

A post a few weeks ago calculated the fragility index of the NINDS trial (which turned out to be only three). Very briefly, the fragility index tests how many events would need to be changed for the p-value to increase above 0.05, rendering the study "statistically insignificant." Ryan Radecki commented that he was concerned that the fragility index was married to the p-value, thereby inheriting the flaws of frequentist statistics. Perhaps we should ditch the p-value and the fragility index, switching instead to a purely Bayesian approach to statistics?

EMCrit by Josh Farkas.

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