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  "Description": "A subgroup identification method for precision medicine\nbased on quantitative objectives. This method can handle\ncontinuous, binary and survival endpoint for both prognostic\nand predictive case. For the predictive case, the method aims\nat identifying a subgroup for which treatment is better than\ncontrol by at least a pre-specified or auto-selected constant.\nFor the prognostic case, the method aims at identifying a\nsubgroup that is at least better than a\npre-specified/auto-selected constant. The derived signature is\na linear combination of predictors, and the selected subgroup\nare subjects with the signature > 0. The false discover rate\nwhen no true subgroup exists is controlled at a user-specified\nlevel.",
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