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
5 papers · 2 filters
Social Network Mediation Analysis: a Latent Space Approach
Haiyan Liu, Ick Hoon Jin, Zhiyong Zhang +1
Social networks contain data on both actor attributes and social connections among them. Such connections reflect the dependence among social actors, which is important for individ…
TOP: Time-to-Event Bayesian Optimal Phase II Trial Design for Cancer Immunotherapy
Ruitao Lin, Robert L Coleman, Ying Yuan
Immunotherapies have revolutionized cancer treatment. Unlike chemotherapies, immune agents often take longer time to show benefit, and the complex and unique mechanism of action of…
Time-to-Event Model-Assisted Designs to Accelerate Phase I Clinical Trials
Ruitao Lin, Ying Yuan
Two useful strategies to speed up drug development are to increase the patient accrual rate and use novel adaptive designs. Unfortunately, these two strategies often conflict when…
Bayesian Semiparametric Functional Mixed Models for Serially Correlated Functional Data, with Application to Glaucoma Data
Wonyul Lee, Michelle F. Miranda, Phlip Rausch +4
Glaucoma, a leading cause of blindness, is characterized by optic nerve damage related to intraocular pressure (IOP), but its full etiology is unknown. Researchers at UAB have devi…
A Flexible Procedure for Mixture Proportion Estimation in Positive-Unlabeled Learning
Zhenfeng Lin, James P. Long
Positive--unlabeled (PU) learning considers two samples, a positive set P with observations from only one class and an unlabeled set U with observations from two classes. The goal…