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    $\begingroup$ The first place to look would be the paper by Ernst - the reference at the bottom of your link. However, a quick glance at that paper doesn't seem to offer any fast way to invert the test though it's possible I missed something. One would have to see the poster (in this day and age it's not clear why pdfs of posters aren't uploaded as a matter of course after a conference) to know for sure. You might try contacting Ernst perhaps? $\endgroup$ Commented May 22, 2019 at 0:19
  • $\begingroup$ Ernst's paper does refer to a method by Garthwaite "Garthwaite (1996) described an efficient method for constructing confidence intervals from randomization tests, but this method is not implemented in any commercial software" but I doubt the poster can be just talking about a direct implementation of that (or surely Garthwaite would be included in the poster references). It's possible the poster relates to some extension or modification of Garthwaite, but it would still be odd to refer to Ernst and not refer to Garthwaite. $\endgroup$ Commented May 22, 2019 at 0:33
  • $\begingroup$ Further hinting that they had some improvement or extension: the poster abstract says "computation is no more difficult than" while Garthwaite's abstract says "Each search requires only slightly more permutations than" (where there are two such searches for the CI, so slightly more than twice), suggesting a possible improvement over Garthwaite. FWIW, the reference is Garthwaite, P.H. (1996). Confidence intervals from randomization tests. Biometrics 52 1387–1393 $\endgroup$ Commented May 22, 2019 at 0:36