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Personalized Decision Making -- A Conceptual Introduction
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Personalized decision making targets the behavior of a specific individual, while population-based decision making concerns a sub-population resembling that individual. This paper clarifies the distinction between the two and explains why the former leads to more informed decisions. We further show that by combining experimental and observational studies we can obtain valuable information about individual behavior and, consequently, improve decisions over those obtained from experimental studies alone.
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Individual Treatment Effect: Prediction Intervals and Sharp Bounds
Valid prediction intervals for individual treatment effects from large RCTs are trivial unless response rates are extreme, and sharp pmf bounds are given by sums of Fréchet cell bounds.
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