activity
20152021
most citedCombining nonexchangeable functional or survival data sources in oncology using generalized mixture commensurate priors

16 citations · 20 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ME2021

Augmenting control arms with Real-World Data for cancer trials: Hybrid control arm methods and considerations

W. Katherine Tan, Brian D. Segal, Melissa D. Curtis +9

Randomized controlled trials (RCTs) are the gold standard for assessing drug safety and efficacy. However, RCTs have some drawbacks which have led to the use of single-arm studies…

stat.AP2020★ 1 cited

A Bayesian Nonparametric model for textural pattern heterogeneity

Xiao Li, Michele Guindani, Chaan S. Ng +1

Cancer radiomics is an emerging discipline promising to elucidate lesion phenotypes and tumor heterogeneity through patterns of enhancement, texture, morphology, and shape. The pre…

stat.ME2020

A Survival Mediation Model with Bayesian Model Averaging

Jie Zhou, Xun Jiang, H. Amy Xia +2

Determining the extent to which a patient is benefiting from cancer therapy is challenging. Criteria for quantifying the extent of "tumor response" observed within a few cycles of…

stat.ME2020

Statistical design considerations for trials that study multiple indications

Alexander M. Kaizer, Joseph S. Koopmeiners, Nan Chen +1

Breakthroughs in cancer biology have defined new research programs emphasizing the development of therapies that target specific pathways in tumor cells. Innovations in clinical tr…

cs.CV2018★ 3 cited

A Time Series Graph Cut Image Segmentation Scheme for Liver Tumors

Laramie Paxton, Yufeng Cao, Kevin R. Vixie +3

Tumor detection in biomedical imaging is a time-consuming process for medical professionals and is not without errors. Thus in recent decades, researchers have developed algorithmi…

stat.AP2015★ 16 cited

Combining nonexchangeable functional or survival data sources in oncology using generalized mixture commensurate priors

Thomas A. Murray, Brian P. Hobbs, Bradley P. Carlin

Conventional approaches to statistical inference preclude structures that facilitate incorporation of supplemental information acquired from similar circumstances. For example, the…