output
20142025
most citedSubgroup-Based Adaptive (SUBA) Designs for Multi-Arm Biomarker Trials

42 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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4 papers · 1 filter

stat.ME2017

AAA: Triple-adaptive Bayesian designs for the identification of optimal dose combinations in dual-agent dose-finding trials

Jiaying Lyu, Yuan Ji, Naiqing Zhao +1

We propose a flexible design for the identification of optimal dose combinations in dual-agent dose-finding clinical trials. The design is called AAA, standing for three adaptation…

stat.ME2016

Heterogeneous Reciprocal Graphical Models

Yang Ni, Peter Mueller, Yitan Zhu +1

We develop novel hierarchical reciprocal graphical models to infer gene networks from heterogeneous data. In the case of data that can be naturally divided into known groups, we pr…

stat.ME2014★ 26 cited

Bayesian sparse graphical models for classification with application to protein expression data

Veerabhadran Baladandayuthapani, Rajesh Talluri, Yuan Ji +5

Reverse-phase protein array (RPPA) analysis is a powerful, relatively new platform that allows for high-throughput, quantitative analysis of protein networks. One of the challenges…

stat.ME2014★ 37 cited

MAD Bayes for Tumor Heterogeneity Feature Allocation with Non-Normal Sampling

Yanxun Xu, Peter Mueller, Yuan Yuan +2

We propose small-variance asymptotic approximations for the inference of tumor heterogeneity (TH) using next-generation sequencing data. Understanding TH is an important and open r…