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- W4248369829 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.
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- W4248369829 title "Bayesian analysis of the Weibull process with unknown scale and shape parameters" @default.
- W4248369829 doi "https://doi.org/10.1016/0026-2714(70)90326-4" @default.
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