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 · 2 filters
Bayesian Clustering Prior with Overlapping Indices for Effective Use of Multisource External Data
Xuetao Lu, J. Jack Lee
The use of external data in clinical trials offers numerous advantages, such as reducing the number of patients, increasing study power, and shortening trial durations. In Bayesian…
Bayesian Transfer Learning for Enhanced Estimation and Inference
Daoyuan Lai, Oscar Hernan Madrid Padilla, Xiang Li +1
Transfer learning enhances model performance in a target population with limited samples by leveraging knowledge from related studies. While many works focus on improving predictiv…
Clustering Computer Mouse Tracking Data with Informed Hierarchical Shrinkage Partition Priors
Ziyi Song, Weining Shen, Marina Vannucci +4
Mouse-tracking data, which record computer mouse trajectories while participants perform an experimental task, provide valuable insights into subjects' underlying cognitive process…
ROMI: A Randomized Two-Stage Basket Trial Design to Optimize Doses for Multiple Indications
Shuqi Wang, Peter F. Thall, Kentaro Takeda +1
Optimizing doses for multiple indications is challenging. The pooled approach of finding a single optimal biological dose (OBD) for all indications ignores that dose-response or do…
Conformal predictive intervals in survival analysis: a re-sampling approach
Jing Qin, Jin Piao, Jing Ning +1
The distribution-free method of conformal prediction (Vovk et al, 2005) has gained considerable attention in computer science, machine learning, and statistics. Candes et al. (2023…
A Weibull Mixture Cure Frailty Model for High-dimensional Covariates
Fatih Kızılaslan, David Michael Swanson, Valeria Vitelli
A novel mixture cure frailty model is introduced for handling censored survival data. Mixture cure models are preferable when the existence of a cured fraction among patients can b…