1.1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Carnegie Mellon UniversityUS3 papers
- Eli Lilly (United States)US3 papers
- Harvard UniversityUS3 papers
- New Jersey Institute of TechnologyUS3 papers
- Pfizer (United States)US3 papers
- United States Military AcademyUS3 papers
- University of WashingtonUS3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Duke UniversityUS2 papers
- Janssen Research & Development (United States)US2 papers
- Nektar Therapeutics (United States)US2 papers
- New York UniversityUS2 papers
10 papers · 1 filter
Olympus: a benchmarking framework for noisy optimization and experiment planning
Florian Häse, Matteo Aldeghi, Riley J. Hickman +5
Research challenges encountered across science, engineering, and economics can frequently be formulated as optimization tasks. In chemistry and materials science, recent growth in…
Principal Stratum Strategy: Potential Role in Drug Development
Björn Bornkamp, Kaspar Rufibach, Jianchang Lin +6
A randomized trial allows estimation of the causal effect of an intervention compared to a control in the overall population and in subpopulations defined by baseline characteristi…
Assessing the Impact of COVID-19 on the Objective and Analysis of Oncology Clinical Trials -- Application of the Estimand Framework
Evgeny Degtyarev, Kaspar Rufibach, Yue Shentu +10
COVID-19 outbreak has rapidly evolved into a global pandemic. The impact of COVID-19 on patient journeys in oncology represents a new risk to interpretation of trial results and it…
Clinical Trial Drug Safety Assessment for Studies and Submissions Impacted by COVID-19
Mary Nilsson, Brenda Crowe, Greg Anglin +4
In this paper, we provide guidance on how standard safety analyses and reporting of clinical trial safety data may need to be modified, given the potential impact of the COVID-19 p…
Decision Making in Drug Development via Inference on Power
Geoffrey S Johnson
A typical power calculation is performed by replacing unknown population-level quantities in the power function with what is observed in external studies. Many authors and practiti…
Group Equivariant Generative Adversarial Networks
Neel Dey, Antong Chen, Soheil Ghafurian
Recent improvements in generative adversarial visual synthesis incorporate real and fake image transformation in a self-supervised setting, leading to increased stability and perce…
An efficient and accurate approximation to the distribution of quadratic forms of Gaussian variables
Hong Zhang, Judong Shen, Zheyang Wu
In computational and applied statistics, it is of great interest to get fast and accurate calculation for the distributions of the quadratic forms of Gaussian random variables. Thi…
Multiplicity for a Group Sequential Trial with Biomarker Subpopulations
Ting-Yu Chen, Jing Zhao, Linda Sun +1
Biomarker subpopulations have become increasingly important for drug development in targeted therapies. The use of biomarkers has the potential to facilitate more effective outcome…
A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials
Antong Chen, Jennifer Saouaf, Bo Zhou +6
Herein we propose a deep learning-based approach for the prediction of lung lesion response based on radiomic features extracted from clinical CT scans of patients in non-small cel…
The Reciprocal Bayesian LASSO
Himel Mallick, Rahim Alhamzawi, Erina Paul +1
A reciprocal LASSO (rLASSO) regularization employs a decreasing penalty function as opposed to conventional penalization approaches that use increasing penalties on the coefficient…