Authors: Leon Chlon, Andrew Song, Sandya Subramanian, Hugo Soulat, John Tauber, Demba Ba, Michael Prerau
arXiv
Electroencephalographic (EEG) monitoring of neural activity is widely used for sleep disorder diagnostics and research. The standard of care is to manually classify 30-second epochs of EEG time-domain...
Authors: Cesar Rommel Salas
arXiv
According to some researchers, noise is typically conceived as a detrimental factor in cognitive performance affecting perception, decision making, and motor function. However, in recent studies it is...
Authors: Ze Jin, David S. Matteson
arXiv
We apply both distance-based (Jin and Matteson, 2017) and kernel-based (Pfister et al., 2016) mutual dependence measures to independent component analysis (ICA), and generalize dCovICA (Matteson and T...
Authors: Marco Helbich, Nadja Klein, Hannah Roberts, Paulien Hagedoorn, Peter Groenewegen
arXiv
Exposure to green space seems to be beneficial for self-reported mental health. In this study we used an objective health indicator, namely antidepressant prescription rates. Current studies rely excl...
Authors: Claude Renaux, Laura Buzdugan, Markus Kalisch, Peter Bühlmann
arXiv
We provide a view on high-dimensional statistical inference for genome-wide association studies (GWAS). It is in part a review but covers also new developments for meta analysis with multiple studies...
Authors: Yangsong Zhang, Erwei Yin, Fali Li, Yu Zhang, Toshihisa Tanaka, Qibin Zhao, Yan Cui, Peng Xu, Dezhong Yao, Daqing Guo
arXiv
Canonical correlation analysis (CCA) is a state-of-the-art method for frequency recognition in steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) systems. Various extend...
Authors: Thomas McAndrew, Bjorn Redfors, Aaron Crowley, Yiran Zhang, Shmuel Chen, Mordechai Golomb, Maria Alu, Dominic Francese, Ori Ben-Yehuda, Akiko Maehara, Gary Mintz, Gregg Stone, Paul Jenkins
arXiv
Combining patient-level data from clinical trials can connect rare phenomena with clinical endpoints, but statistical techniques applied to a single trial may become problematical when trials are pool...
Authors: Subhadeep Paul, Yuguo Chen
arXiv
Motivated by multi-subject experiments in neuroimaging studies, we develop a modeling framework for joint community detection in a group of related networks, which can be considered as a sample from a...
Authors: Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner, Frederik Barkhof, Nick C. Fox, Stefan Klein, Daniel C. Alexander, the EuroPOND Consortium
arXiv
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge compares the performance of algorithms at predicting future evolution of individuals at risk of Alzheimer's disease. TA...
Authors: Marcela Alfaro Córdoba, Montserrat Fuentes, Joseph Guinness, Lian Xie
arXiv
Tropical cyclone and sea surface temperature data have been used in several studies to forecast the total number of hurricanes in the Atlantic Basin. Sea surface temperature (SST) and latent heat flux...
Authors: Ningren Han, Rajeev J. Ram
arXiv
In this work, we propose a two-stage algorithm based on Bayesian modeling and computation aiming at quantifying analyte concentrations or quantities in complex mixtures with Raman spectroscopy. A hier...
Authors: Michael Tzen
arXiv
Through the lense of multilevel model (MLM) specification and regularization, this is a connect-the-dots introductory summary of Small Area Estimation, e.g. small group prediction informed by a comple...
Authors: Andrew Ying, Ronghui Xu, James Murphy
arXiv
Instrumental variable is an essential tool for addressing unmeasured confounding in observational studies. Two stage predictor substitution (2SPS) estimator and two stage residual inclusion(2SRI) are...
Authors: Francisco J. Rubio, Laurent Remontet, Nicholas P. Jewell, Aurélien Belot
arXiv
The proportional hazards model represents the most commonly assumed hazard structure when analysing time to event data using regression models. We study a general hazard structure which contains, as p...
Authors: Supreeth P. Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati
arXiv
Detection of atrial fibrillation (AF), a type of cardiac arrhythmia, is difficult since many cases of AF are usually clinically silent and undiagnosed. In particular paroxysmal AF is a form of AF that...