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Titlebook: Bayesian Statistics and New Generations; BAYSM 2018, Warwick, Raffaele Argiento,Daniele Durante,Sara Wade Conference proceedings 2019 Sprin

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Robert Yarchoan,Hiroaki Mitsuyaquentist framework. As an alternative, we can adopt the Bayesian framework and use off-the-shelf MCMC methods. This chapter contains an overview of this methodology, including different parametrizations of interaction terms. To illustrate the methodology, the depression scores of 364 MZ twin pairs a
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Koen K. A. Van Rompay,Kartika Jayashankar novel refinement appropriate for use in phase II, and evaluate it using a simulation study. Our method shares information across patient cohorts. Simulations show it is more efficient than analysing the cohorts separately. Using the design in PePS2 with 60 patients to test the treatment in six coho
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A Bayesian Nonparametric Model for Integrative Clustering of Omics Datao datasets from the Cancer Genome Atlas project of glioblastoma multiforme, which contains clinical and biological data about cancer patients with extremely poor prognosis of survival. By combining all available information we are able to be better identify clinically meaningful subtypes of glioblas
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A Phase II Clinical Trial Design for Associated Co-primary Efficacy and Toxicity Outcomes with Basel novel refinement appropriate for use in phase II, and evaluate it using a simulation study. Our method shares information across patient cohorts. Simulations show it is more efficient than analysing the cohorts separately. Using the design in PePS2 with 60 patients to test the treatment in six coho
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