collaborators

5 papers

math.CO2025

Characterization of locally most split reliable graphs

Pablo Romero

A two-terminal graph is a graph equipped with two distinguished vertices, called terminals. Let be the set of all nonisomorphic connected simple two-terminal graphs on $n…

stat.ME2025

fkbma: An R Package for Detecting Tailoring Variables with Free-Knot B-Splines and Bayesian Model Averaging

Lara Maleyeff, Shirin Golchi, Erica E. M. Moodie

Precision medicine aims to optimize treatment by identifying patient subgroups most likely to benefit from specific interventions. To support this goal, we introduce fkbma, an R pa…

stat.ME2024

Sparse two-stage Bayesian meta-analysis for individualized treatments

Junwei Shen, Erica E. M. Moodie, Shirin Golchi

Individualized treatment rules tailor treatments to patients based on clinical, demographic, and other characteristics. Estimation of individualized treatment rules requires the id…

stat.ME2024

An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of tailoring variables

Lara Maleyeff, Shirin Golchi, Erica E. M. Moodie +1

Precision medicine stands as a transformative approach in healthcare, offering tailored treatments that can enhance patient outcomes and reduce healthcare costs. As understanding o…

stat.ME2024

Bayesian Optimization for Identification of Optimal Biological Dose Combinations in Personalized Dose-Finding Trials

James Willard, Shirin Golchi, Erica EM Moodie

Early phase, personalized dose-finding trials for combination therapies seek to identify patient-specific optimal biological dose (OBD) combinations, which are defined as safe dose…