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  "Title": "Dose Titration Algorithm Tuning",
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  "Description": "Dose Titration Algorithm Tuning (DTAT) is a methodologic\nframework allowing dose individualization to be conceived as a\ncontinuous learning process that begins in early-phase clinical\ntrials and continues throughout drug development, on into\nclinical practice. This package includes code that researchers\nmay use to reproduce or extend key results of the DTAT research\nprogramme, plus tools for trialists to design and simulate a\n'3+3/PC' dose-finding study. Please see Norris (2017a)\n<doi:10.12688/f1000research.10624.3> and Norris (2017c)\n<doi:10.1101/240846>.",
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