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Adaptive Experiment Design with Synthetic Controls. (arXiv:2401.17205v1 [stat.ML])
stat.ML updates on arXiv.org arxiv.org
Clinical trials are typically run in order to understand the effects of a new
treatment on a given population of patients. However, patients in large
populations rarely respond the same way to the same treatment. This
heterogeneity in patient responses necessitates trials that investigate effects
on multiple subpopulations - especially when a treatment has marginal or no
benefit for the overall population but might have significant benefit for a
particular subpopulation. Motivated by this need, we propose Syntax, an
exploratory …
arxiv clinical clinical trials design effects experiment multiple patient patients population responses stat.ml synthetic treatment