Precision Medicine

A Bayesian Decision Framework for Optimizing Sequential Combination Antiretroviral Therapy in People with HIV

Bayesian Decision Framework for Optimizing Sequential cART

Individualized Inference in Bayesian Quantile Directed Acyclic Graphical Models

Graphical Dirichlet process.

Bayesian Hierarchical Quantile Regression with Application to Characterizing the Immune Architecture of Lung Cancer

The successful development and implementation of precision immuno-oncology therapies requires a deeper understanding of the immune architecture at a patient level. T-cell Receptor (TCR) repertoire sequencing is a relatively new technology that …

BAGEL: A Bayesian Graphical Model for Inferring Drug Effect on Depression Longitudinally in People with HIV

HIV Longitudinal Drug Effects on Mental Health

A Bayesian Nonparametric Approach for Inferring Drug Combination Effects on Mental Health in People with HIV

HIV Drug Combination Effects on Mental Health

Bayesian Hierarchical Varying-sparsity Model with Application to Cancer Proteogenomics

A Bayesian hierarchical varying-sparsity regression (BEHAVIOR) model that selects clinically relevant disease markers by integrating proteogenomic and clinical data.