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  "Title": "Optimal Exact Tests for Multiple Binary Endpoints",
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  "Authors@R": "person(\"Robin\", \"Ristl\", email = \"robin.ristl@meduniwien.ac.at\", role = c(\"aut\", \"cre\"))",
  "Description": "Calculates exact hypothesis tests to compare a treatment\nand a reference group with respect to multiple binary\nendpoints. The tested null hypothesis is an identical\nmultidimensional distribution of successes and failures in both\ngroups. The alternative hypothesis is a larger success\nproportion in the treatment group in at least one endpoint. The\ntests are based on the multivariate permutation distribution of\nsubjects between the two groups. For this permutation\ndistribution, rejection regions are calculated that satisfy one\nof different possible optimization criteria. In particular,\nregions with maximal exhaustion of the nominal significance\nlevel, maximal power under a specified alternative or maximal\nnumber of elements can be found. Optimization is achieved by a\nbranch-and-bound algorithm. By application of the closed\ntesting principle, the global hypothesis tests are extended to\nmultiple testing procedures.",
  "Date": "2018-02-23",
  "Author": "Robin Ristl [aut, cre]",
  "Maintainer": "Robin Ristl <robin.ristl@meduniwien.ac.at>",
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