18 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Wisconsin–MadisonUS12 papers
- Madison Group (United States)US3 papers
- Yale UniversityUS3 papers
- Drew UniversityUS2 papers
- Harvard UniversityUS2 papers
- Monash UniversityAU2 papers
- Ottawa HospitalCA2 papers
- University of CalgaryCA2 papers
- University of MichiganUS2 papers
- University of OttawaCA2 papers
- University of PennsylvaniaUS2 papers
- William S. Middleton Memorial Veterans HospitalUS2 papers
13 papers
Robust Power and Sample Size Calculations in Quasi-likelihood Models: Methods and Practice
Shijie Yuan, Amy Cochran, Paul Rathouz
Accurate power and sample size (PSS) calculations are essential for designing studies that use quasi-likelihood (QL) models, which extend generalized linear models (GLMs) to settin…
A tutorial on conducting sample size and power calculations for detecting treatment effect heterogeneity in cluster randomized trials with linear mixed models
Mary Ryan Baumann, Monica Taljaard, Patrick J. Heagerty +4
Cluster-randomized trials (CRTs) are a well-established class of designs for evaluating community-based interventions. An essential task in planning these trials is determining the…
Association of neighborhood disadvantage with cognitive function and cortical disorganization in an unimpaired cohort
Apoorva Safai, Erin Jonaitis, Rebecca E Langhough +6
Neighborhood disadvantage is associated with worse health and cognitive outcomes. Morphological similarity network (MSN) is a promising approach to elucidate cortical network patte…
EMU/GAMA: A Technique for Detecting Active Galactic Nuclei in Low Mass Systems
Jahang Prathap, Andrew M. Hopkins, Aaron S. G. Robotham +17
We propose a new method for identifying active galactic nuclei (AGN) in low mass () galaxies. This method relies on spectral energy distribution (SED) fi…
Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint
Mary Ryan Baumann, Denise Esserman, Monica Taljaard +1
Stepped wedge cluster randomized trials (SW-CRTs) are a form of randomized trial whereby clusters are progressively transitioned from control to intervention, with the timing of tr…
Group sequential two-stage preference designs
Ruyi Liu, Fan Li, Denise Esserman +1
The two-stage preference design (TSPD) enables the inference for treatment efficacy while allowing for incorporation of patient preference to treatment. It can provide unbiased est…
A next-generation optical sensor for IceCube-Gen2
Vedant Basu, Aya Ishihara, Markus Dittmer +1
For the in-ice component of the next generation neutrino observatory at the South Pole, IceCube-Gen2, a new sensor module is being developed, which is an evolution of the D-Egg and…
The Federated Tumor Segmentation (FeTS) Challenge
Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29
This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…
SUSAN: Segment Unannotated image Structure using Adversarial Network
Fang Liu
Segmentation of magnetic resonance (MR) images is a fundamental step in many medical imaging-based applications. The recent implementation of deep convolutional neural networks (CN…
Simultaneous disease mapping and hot spot detection with application to childhood obesity surveillance from electronic health records
Young-Geun Choi, Lawrence P. Hanrahan, Derek Norton +1
Electronic health records (EHRs) have become a platform for data-driven surveillance on a granular level in recent years. In this paper, we make use of EHRs for early prevention of…
Improved Strongly Adaptive Online Learning using Coin Betting
Kwang-Sung Jun, Francesco Orabona, Rebecca Willett +1
This paper describes a new parameter-free online learning algorithm for changing environments. In comparing against algorithms with the same time complexity as ours, we obtain a st…
Matrix Completion Under Monotonic Single Index Models
Ravi Ganti, Laura Balzano, Rebecca Willett
Most recent results in matrix completion assume that the matrix under consideration is low-rank or that the columns are in a union of low-rank subspaces. In real-world settings, ho…
Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies
Jie Liu, Chunming Zhang, Catherine McCarty +3
Large-scale multiple testing tasks often exhibit dependence, and leveraging the dependence between individual tests is still one challenging and important problem in statistics. Wi…