Authors: Zhenghao Jiang, Gu Mi, Ji Lin, Christelle Lorenzato, Yuan Ji
arXiv
The Project Optimus initiative by the FDA's Oncology Center of Excellence is widely viewed as a groundbreaking effort to change the $\textit{status quo}$ of conventional dose-finding strategies in onc...
Authors: Juan C. Perdomo, Tolani Britton, Moritz Hardt, Rediet Abebe
arXiv
Early warning systems (EWS) are predictive tools at the center of recent efforts to improve graduation rates in public schools across the United States. These systems assist in targeting interventions...
Authors: Yang Xu, Loni Philip Tabb
arXiv
Research on residential segregation has been active since the 1950s and originated in a desire to quantify the level of racial/ethnic segregation in the United States. The Index of Concentration at th...
Authors: Kai-Lan Chang, Martin G. Schultz, Gerbrand Koren, Niklas Selke
arXiv
The aim of this guidance note is to provide recommendations on best statistical practices and to ensure consistent communication of statistical analysis and associated uncertainty across TOAR publicat...
Authors: C. A. Lindley, M. R. Jones, T. J. Rogers, E. J. Cross, R. S. Dwyer-Joyce, N. Dervilis, K. Worden
arXiv
It has been demonstrated that acoustic-emission (AE), inspection of structures can offer advantages over other types of monitoring techniques in the detection of damage; namely, an increased sensitivi...
Authors: Pierfrancesco Alaimo Di Loro, Dankmar Boehning, Sujit Sahu
arXiv
The COVID-19 pandemic provided many modeling challenges to investigate the evolution of an epidemic process over areal units. A suitable encompassing model must describe the spatio-temporal variations...
Authors: Chanwoo Chun, Daniel D. Lee
arXiv
We investigate how sparse neural activity affects the generalization performance of a deep Bayesian neural network at the large width limit. To this end, we derive a neural network Gaussian Process (N...
Authors: Yiming Chen, Sihui Wang, Dong Xu
arXiv
Background Atrial fibrillation is often missed by traditional intermittent electrocardiogram monitoring after ischemic stroke due to its paroxysmal and asymptomatic nature. The knowledge of the unique...
Authors: Ziyu Gong, Xiong Zhao, Chen Yang
arXiv
This paper aims to detect the potential injury risk of the anterior cruciate ligament (ACL) by proposing an ACL potential injury risk assessment algorithm based on key points of the human body detecte...
Authors: Ruizhe Chen, Sanjib Basu, Qian Shi
arXiv
Restricted mean survival time (RMST) is an intuitive summary statistic for time-to-event random variables, and can be used for measuring treatment effects. Compared to hazard ratio, its estimation pro...
Authors: James Weaver, Patrick B. Ryan, Victoria Y. Strauss, Marc A. Suchard, Joel Swerdel, Daniel Prieto-Alhambra
arXiv
Outcome phenotype measurement error is rarely corrected in comparative effect estimation studies in observational pharmacoepidemiology. Quantitative bias analysis (QBA) is a misclassification correcti...
Authors: Sam Dannels
arXiv
A common problem when forecasting rare events, such as recessions, is limited data availability. Recent advancements in deep learning and generative adversarial networks (GANs) make it possible to pro...
Authors: Zhangxing Bian, Muhan Shao, Jiachen Zhuo, Rao P. Gullapalli, Aaron Carass, Jerry L. Prince
arXiv
Connectivity information derived from diffusion-weighted magnetic resonance images~(DW-MRIs) plays an important role in studying human subcortical gray matter structures. However, due to the $O(N^2)$...
Authors: Peng Yang, Daniel Li, Ruitao Lin, Bo Huang, Ying Yuan
arXiv
The conventional more-is-better dose selection paradigm, which targets the maximum tolerated dose (MTD), is not suitable for the development of targeted therapies and immunotherapies as the efficacy o...
Authors: Suvam Roy, Nikhil Ranjan Pal
arXiv
We present a model of the primary visual cortex V1, guided by anatomical experiments. Unlike most machine learning systems our goal is not to maximize accuracy but to realize a system more aligned to...