399 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Rice UniversityUS17 papers
- The University of Texas Health Science Center at HoustonUS17 papers
- The University of Texas at AustinUS13 papers
- Harvard UniversityUS12 papers
- Baylor College of MedicineUS10 papers
- The University of Texas Southwestern Medical CenterUS9 papers
- University of PennsylvaniaUS8 papers
- Massachusetts General HospitalUS7 papers
- Stanford UniversityUS7 papers
- Technical University of MunichDE7 papers
- University of Alabama at BirminghamUS7 papers
- University of North Carolina at Chapel HillUS7 papers
6 papers · 1 filter
Bayesian Nonparametric Estimation for Dynamic Treatment Regimes with Sequential Transition Times
Yanxun Xu, Peter Mueller, Abdus S. Wahed +1
Dynamic treatment regimes in oncology and other disease areas often can be characterized by an alternating sequence of treatments or other actions and transition times between dise…
PenPC: A Two-step Approach to Estimate the Skeletons of High Dimensional Directed Acyclic Graphs
Min Jin Ha, Wei Sun, Jichun Xie
Estimation of the skeleton of a directed acyclic graph (DAG) is of great importance for understanding the underlying DAG and causaleffects can be assessed from the skeleton when th…
Statistical Tests for Large Tree-structured Data
Karthik Bharath, Prabhanjan Kambadur, Dipak. K. Dey +2
We develop a general statistical framework for the analysis and inference of large tree-structured data, with a focus on developing asymptotic goodness-of-fit tests. We first propo…
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…
Adaptive Bayesian density regression for high-dimensional data
Weining Shen, Subhashis Ghosal
Density regression provides a flexible strategy for modeling the distribution of a response variable given predictors by letting that the conditio…
Bayesian data augmentation dose finding with continual reassessment method and delayed toxicity
Suyu Liu, Guosheng Yin, Ying Yuan
A major practical impediment when implementing adaptive dose-finding designs is that the toxicity outcome used by the decision rules may not be observed shortly after the initiatio…