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- W3027210675 abstract "We consider Bayesian prediction modelling to evaluate a satisfaction index after a first phase of experiment in order to decide to stop or continue at the second stage. We apply this method to Poisson and Gamma distributed outcomes in many fields such as reliability or survival analysis for early termination due to either futility or efficacy. We look at two kinds of decisions making: an hybrid Bayesian-frequentist or a full Bayesian approach." @default.
- W3027210675 created "2020-05-29" @default.
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- W3027210675 date "2020-01-26" @default.
- W3027210675 modified "2023-09-23" @default.
- W3027210675 title "Bayesian prediction modeling for two-stage experimental trials for Poisson or Gamma distributed data" @default.
- W3027210675 doi "https://doi.org/10.1285/i20705948v13n1p268" @default.
- W3027210675 hasPublicationYear "2020" @default.
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