533 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Center for Devices and Radiological HealthUS9 papers
- University of Maryland, College ParkUS9 papers
- Center for Drug Evaluation and ResearchUS6 papers
- Harvard UniversityUS6 papers
- University of ChicagoUS6 papers
- Center for Biologics Evaluation and ResearchUS5 papers
- Office of ScienceUS5 papers
- Massachusetts General HospitalUS4 papers
- New York UniversityUS4 papers
- University of California, IrvineUS4 papers
- Cornell UniversityUS3 papers
- Food and Drug AdministrationTH3 papers
7 papers · 1 filter
Modern Statistical Models and Methods for Estimating Fatigue-Life and Fatigue-Strength Distributions from Experimental Data
William Q. Meeker, Luis A. Escobar, Francis G. Pascual +4
Engineers and scientists have been collecting and analyzing fatigue data since the 1800s to ensure the reliability of life-critical structures. Applications include (but are not li…
Applications of Machine Learning in Pharmacogenomics: Clustering Plasma Concentration-Time Curves
Jackson P. Lautier, Stella Grosser, Jessica Kim +2
Pharmaceutical researchers are continually searching for techniques to improve both drug development processes and patient outcomes. An area of recent interest is the potential for…
Use of Non-concurrent Common Control in Master Protocols in Oncology Trials: Report of an American Statistical Association Biopharmaceutical Section Open Forum Discussion
Rajeshwari Sridhara, Olga Marchenko, Qi Jiang +14
This article summarizes the discussions from the American Statistical Association (ASA) Biopharmaceutical (BIOP) Section Open Forum that took place on December 10, 2020 and was org…
Learning diffusion coefficients, kinetic parameters, and the number of underlying states from a multi-state diffusion process: robustness results and application to PDK1/PKC, dynamics
Lewis R. Baker, Moshe T. Gordon, Brian P. Ziemba +3
Systems driven by Brownian motion are ubiquitous. A prevailing challenge is inferring, from data, the diffusion and kinetic parameters that describe these stochastic processes. In…
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging
Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks +4
Modern generative models, such as generative adversarial networks (GANs), hold tremendous promise for several areas of medical imaging, such as unconditional medical image synthesi…
A sharp interface Lagrangian-Eulerian method for flexible-body fluid-structure interaction
Ebrahim M. Kolahdouz, David R. Wells, Simone Rossi +3
This paper introduces a sharp-interface approach to simulating fluid-structure interaction involving flexible bodies described by general nonlinear material models and across a bro…
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…