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 ...
Nature

Projecting malaria elimination in Thailand using Bayesian hierarchical spatiotemporal models

Thailand has successfully reduced indigenous malaria transmission, the cases contracted locally dropped from 150,000 cases in 2000 to 24,850 cases in 2015, with a morbidity rate of 0.38 per 1000 ...
inc42

What Are Hierarchical Models? Here’s All You Need to Know

What Is A Hierarchical Models? Hierarchical models, also known as hierarchical statistical models, multilevel models or random-effects models, are tools for analysing data with a nested or grouped ...
Nature

A novel 14-gene signature for overall survival in lung adenocarcinoma based on the Bayesian hierarchical Cox proportional hazards model

Lung cancer is one of the most common cancers in the world and is the leading cause of cancer-related deaths 1. With the aging of the global population, lung cancer has a critical impact on health ...
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 ...