Kaleido Scope

BhGLM- Bayesian hierarchical GLMs and survival models, with applications to genomics and epidemiology

BhGLM is a freely available R package that implements Bayesian hierarchical modeling for high-dimensional clinical and genomic data. It consists of functions for setting up various Bayesian ...
JSTOR Daily

Hierarchical Bayes Methods for Multifactor Model Estimation and Portfolio Selection

The factor model is an important construct for both portfolio managers and researchers in modern finance. For practitioners, factor model coefficients are used to guide the construction of optimal ...
JSTOR Daily

A Bayesian Hierarchical Model for Prediction of Latent Health States from Multiple Data Sources with Application to Active Surveillance of Prostate Cancer

This is a preview. Log in through your library . Abstract In this article, we present a Bayesian hierarchical model for predicting a latent health state from longitudinal clinical measurements. Model ...
ascopubs.org

Comparative Study of Bayesian Information Borrowing Methods in Oncology Clinical Trials

Cobimetinib Plus Vemurafenib in Patients With Colorectal Cancer With BRAF Mutations: Results From the Targeted Agent and Profiling Utilization Registry (TAPUR) Study We divided the borrowing ...