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  "Description": "A toolkit for stratified medicine, subgroup\nidentification, and precision medicine. Current tools include\n(1) filtering models (reduce covariate space), (2)\npatient-level estimate models (counterfactual patient-level\nquantities, such as the conditional average treatment effect),\n(3) subgroup identification models (find subsets of patients\nwith similar treatment effects), and (4) treatment effect\nestimation and inference (for the overall population and\ndiscovered subgroups). These tools can be customized and are\ndirectly used in PRISM (patient response identifiers for\nstratified medicine; Jemielita and Mehrotra 2019\n<arXiv:1912.03337>. This package is in beta and will be\ncontinually updated.",
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