We consider dependent clustering of observations in groups. The proposed...
The Project Optimus initiative by the FDA's Oncology Center of Excellenc...
We consider a formal statistical design that allows simultaneous enrollm...
This article summarizes the discussions from the American Statistical
As...
Clinical trials usually involve sequential patient entry. When designing...
The purpose of a phase I dose-finding clinical trial is to investigate t...
We propose a rule-based statistical design for combination dose-finding
...
Most clinical trials involve the comparison of a new treatment to a cont...
We propose BaySize, a sample size calculator for phase I clinical trials...
We consider a Bayesian framework based on "probability of decision" for
...
Background – In phase I clinical trials, historical data may be availabl...
Huffman code mapping (HCM) is a recent technique for reversible data hid...
In dose-finding trials, due to staggered enrollment, it might be desirab...
We propose a multiple cohort expansion (MUCE) approach as a design or
an...
The outbreak of Coronavirus Disease 2019 (COVID-19) is an ongoing pandem...
The Indian buffet process (IBP) and phylogenetic Indian buffet process (...
We present a consensus Monte Carlo algorithm that scales existing Bayesi...
Among various methods of reversible data hiding (RDH) in JPEG images, th...
Cohort-based enrollment can slow down dose-finding trials since the outc...
Purpose: The 3+3 design has been shown to be less likely to achieve the
...
We propose a categorical matrix factorization method to infer latent dis...
We develop a scalable multi-step Monte Carlo algorithm for inference und...