134 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- United States Food and Drug AdministrationUS6 papers
- China Pharmaceutical UniversityCN2 papers
- Food and Drug AdministrationTH2 papers
- Harvard UniversityUS2 papers
- The University of Texas MD Anderson Cancer CenterUS2 papers
- University of California, BerkeleyUS2 papers
- University of WashingtonUS2 papers
- Bentley UniversityUS1 paper
- Brigham and Women's HospitalUS1 paper
- Center for Devices and Radiological HealthUS1 paper
- Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentUS1 paper
- Eureka ScientificUS1 paper
5 papers · 1 filter
Assessing treatment effects in observational data with missing confounders: A comparative study of practical doubly-robust and traditional missing data methods
Brian D. Williamson, Chloe Krakauer, Eric Johnson +13
In pharmacoepidemiology, safety and effectiveness are frequently evaluated using readily available administrative and electronic health records data. In these settings, detailed co…
Practical considerations for specifying a super learner
Rachael V. Phillips, Mark J. van der Laan, Hana Lee +1
Common tasks encountered in epidemiology, including disease incidence estimation and causal inference, rely on predictive modeling. Constructing a predictive model can be thought o…
Optimal Bayesian hierarchical model to accelerate the development of tissue-agnostic drugs and basket trials
Liyun Jiang, Lei Nie, Fangrong Yan +1
Tissue-agnostic trials enroll patients based on their genetic biomarkers, not tumor type, in an attempt to determine if a new drug can successfully treat disease conditions based o…
Hi3+3: A Model-Assisted Dose-Finding Design Borrowing Historical Data
Yunshan Duan, Sue-Jane Wang, Yuan Ji
Background -- In phase I clinical trials, historical data may be available through multi-regional programs, reformulation of the same drug, or previous trials for a drug under the…
Elastic Priors to Dynamically Borrow Information from Historical Data in Clinical Trials
Liyun Jiang, Lei Nie, Ying Yuan
Use of historical data and real-world evidence holds great potential to improve the efficiency of clinical trials. One major challenge is how to effectively borrow information from…