Motivated by examples from genetic association studies, this article considers the model selection problem in a general complex linear model system and in a Bayesian framework. We discuss formulating ...

Scientists from University College London (UCL) and the Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS, AMSS), have reported progress in understanding problems associated ...

This is a preview. Log in through your library . Abstract Bayesian model selection procedures based on nonlocal alternative prior densities are extended to ultrahigh dimensional settings and compared ...

We review Bayesian and Bayesian decision theoretic approaches to subgroup analysis and applications to subgroup-based adaptive clinical trial designs. Subgroup analysis refers to inference about ...

What Oncologists Want: Identifying Challenges and Preferences on Diagnosis Data Entry to Reduce EHR-Induced Burden and Improve Clinical Data Quality We trained a Bayesian ML model in 10,318 patients ...

This paper develops new econometric methods to infer hospital quality in a model with discrete dependent variables and non-random selection. Mortality rates in patient discharge records are widely ...