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  "Title": "Bayesian Decreasingly Informative Priors for Early Termination\nPhase II Trials",
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  "Date": "2023-1-31",
  "Authors@R": "c(\nperson(\"Chen\", \"Wang\", , \"wangc10@vcu.edu\", role = c(\"cre\", \"aut\")),\nperson(\"Roy\", \"Sabo\", , \"roy.sabo@vcuhealth.org\", role = \"aut\")\n)",
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  "Description": "Provide early termination phase II trial designs with a\ndecreasingly informative prior (DIP) or a regular Bayesian\nprior chosen by the user. The program can determine the minimum\nplanned sample size necessary to achieve the user-specified\nadmissible designs. The program can also perform power and\nexpected sample size calculations for the tests in early\ntermination Phase II trials. See Wang C and Sabo RT (2022)\n<doi:10.18203/2349-3259.ijct20221110>; Sabo RT (2014)\n<doi:10.1080/10543406.2014.888441>.",
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  "URL": "<https://github.com/chenw10/BayesDIP>",
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  "Date/Publication": "2023-02-01 18:40:52 UTC",
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