Precision medicine seeks to use data to construct principled, i.e., evidence-based, treatment strategies that dictate where, when, and to whom treatment should be applied. A dynamic treatment regime formalizes precision medicine as a sequence of decision rules, one per stage of clinical intervention, that map accrued patient information to a recommended treatment from among a set of feasible treatment options. Research on dynamic treatment regimes, though vast and deep, is scattered across the statistics and computer science literature. This book provides an accessible yet comprehensive introduction to statistical methodology for dynamic treatment regimes.
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