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stat.AP2019
A Semi-parametric Bayesian Approach to Population Finding with Time-to-Event and Toxicity Data in a Randomized Clinical Trial
Satoshi Morita, Peter Müller, Hiroyasu Abe
A utility-based Bayesian population finding (BaPoFi) method was proposed by Morita and Müller (2017, Biometrics, 1355-1365) to analyze data from a randomized clinical trial with th…
stat.AP2012★ 12 cited
Modeling dependent gene expression
Donatello Telesca, Peter Müller, Giovanni Parmigiani +1
In this paper we propose a Bayesian approach for inference about dependence of high throughput gene expression. Our goals are to use prior knowledge about pathways to anchor infere…