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- W4253624658 abstract "In this paper we present a Bayesian decision theoretic approach to the two-phase design problem. The solution of such sequential decision problems is usually difficult to obtain because of their reliance on preposterior analysis. In overcoming this problem, we adopt the Mont-Carlo-based approach of Müller and Parmigiani (1995) and develop optimal Bayesian designs for two-phase screening tests. A rather attractive feature of the Monte-Carlo approach is that it facilitates the preposterior analysis by replacing it with a sequence of scatter plot smoothing/regression techniques and optimization of the corresponding fitted surfaces. The method is illustrated for depression in adolescents using data from past studies." @default.
- W4253624658 created "2022-05-12" @default.
- W4253624658 date "1973-04-01" @default.
- W4253624658 modified "2023-09-24" @default.
- W4253624658 title "A tester for MOS integrated circuits" @default.
- W4253624658 doi "https://doi.org/10.1016/0026-2714(73)90349-1" @default.
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