4 citations · 10 across the 23 of their papers we have counts for
8 papers · 1 filter
Bayesian Design of Experiments in the Presence of Nuisance Parameters
Shirin Golchi, Luke Hagar
Design of experiments has traditionally relied on the frequentist hypothesis testing framework where the optimal size of the experiment is specified as the minimum sample size that…
Identifying Treatment Effect Heterogeneity with Bayesian Hierarchical Adjustable Random Partition in Adaptive Enrichment Trials
Xianglin Zhao, Shirin Golchi, Jean-Philippe Gouin +1
Treatment effect heterogeneity refers to the systematic variation in treatment effects across subgroups. There is an increasing need for clinical trials that aim to investigate tre…
An Efficient Approach to Design Bayesian Platform Trials
Luke Hagar, Lara Maleyeff, Shirin Golchi +1
Platform trials evaluate multiple experimental treatments against a common control group (and/or against each other), which often reduces the trial duration and sample size. Bayesi…
The efficiencies of pilot feasibility trials in rare diseases using Bayesian methods
Lara Maleyeff, Valérie Leclair, Shirin Golchi +1
Pilot feasibility studies play a pivotal role in the development of clinical trials for rare diseases, where small populations and slow recruitment often threaten trial viability.…
Classifying group actions on hyperbolic spaces
D. Osin, K. Oyakawa, A. Rapinchuk
For a given group , it is natural to ask whether one can classify all isometric -actions on Gromov hyperbolic spaces. We propose a formalization of this problem utilizing the…
A Precision Trial Case Study for Heterogeneous Treatment Effects in Obstructive Sleep Apnea
Lara Maleyeff, Shirin Golchi, Erica E. M. Moodie +1
Precision medicine tailors treatments to individual patient characteristics, which is especially valuable for conditions like obstructive sleep apnea (OSA), where treatment respons…
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…
Design of Bayesian Clinical Trials with Clustered Data
Luke Hagar, Shirin Golchi
In the design of clinical trials, it is essential to assess the design operating characteristics (e.g., power and the type I error rate). Common practice for the evaluation of oper…