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04/28/2023
PAM: Plaid Atoms Model for Bayesian Nonparametric Analysis of Grouped Data
We consider dependent clustering of observations in groups. The proposed...
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04/12/2023
A Multi-Arm Two-Stage (MATS) Design for Proof-of-Concept and Dose Optimization in Early-Phase Oncology Trials
The Project Optimus initiative by the FDA's Oncology Center of Excellenc...
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03/28/2023
The Backfill i3+3 Design for Dose-Finding Trials in Oncology
We consider a formal statistical design that allows simultaneous enrollm...
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09/19/2022
Use of Non-concurrent Common Control in Master Protocols in Oncology Trials: Report of an American Statistical Association Biopharmaceutical Section Open Forum Discussion
This article summarizes the discussions from the American Statistical As...
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12/17/2021
On Frequentist and Bayesian Sequential Clinical Trial Designs
Clinical trials usually involve sequential patient entry. When designing...
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11/24/2021
A Unified Decision Framework for Phase I Dose-Finding Designs
The purpose of a phase I dose-finding clinical trial is to investigate t...
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03/25/2021
The Ci3+3 Design for Dual-Agent Combination Dose-Finding Clinical Trials
We propose a rule-based statistical design for combination dose-finding ...
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03/15/2021
Incorporating External Data into the Analysis of Clinical Trials via Bayesian Additive Regression Trees
Most clinical trials involve the comparison of a new treatment to a cont...
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03/11/2021
BaySize: Bayesian Sample Size Planning for Phase I Dose-Finding Trials
We propose BaySize, a sample size calculator for phase I clinical trials...
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03/10/2021
PoD-BIN: A Probability of Decision Bayesian Interval Design for Time-to-Event Dose-Finding Trials with Multiple Toxicity Grades
We consider a Bayesian framework based on "probability of decision" for ...
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10/20/2020
Hi3+3: A Model-Assisted Dose-Finding Design Borrowing Historical Data
Background – In phase I clinical trials, historical data may be availabl...
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06/29/2020
A Universal Framework to Construct a Huffman-Code-Mapping-based Reversible Data Hiding Scheme for JPEG Images
Huffman code mapping (HCM) is a recent technique for reversible data hid...
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06/20/2020
A Unified Framework for Time-to-Event Dose-Finding Designs
In dose-finding trials, due to staggered enrollment, it might be desirab...
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06/14/2020
MUCE: Bayesian Hierarchical Modeling for the Design and Analysis of Phase 1b Multiple Expansion Cohort Trials
We propose a multiple cohort expansion (MUCE) approach as a design or an...
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06/10/2020
Semiparametric Bayesian Inference for the Transmission Dynamics of COVID-19 with a State-Space Model
The outbreak of Coronavirus Disease 2019 (COVID-19) is an ongoing pandem...
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09/19/2019
Posterior Contraction Rate of Sparse Latent Feature Models with Application to Proteomics
The Indian buffet process (IBP) and phylogenetic Indian buffet process (...
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06/28/2019
Consensus Monte Carlo for Random Subsets using Shared Anchors
We present a consensus Monte Carlo algorithm that scales existing Bayesi...
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05/09/2019
Reversible Data Hiding in JPEG Images with Multi-objective Optimization
Among various methods of reversible data hiding (RDH) in JPEG images, th...
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04/29/2019
PoD-TPI: Probability-of-Decision Toxicity Probability Interval Design to Accelerate Phase I Trials
Cohort-based enrollment can slow down dose-finding trials since the outc...
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01/04/2019
The i3+3 Design for Phase I Clinical Trials
Purpose: The 3+3 design has been shown to be less likely to achieve the ...
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09/04/2018
Bayesian Double Feature Allocation for Phenotyping with Electronic Health Records
We propose a categorical matrix factorization method to infer latent dis...
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06/07/2018
