Results 91 to 100 of about 20,217 (261)

Development and preclinical evaluation of a hybrid stereoelectroencephalographic–laser depth electrode for magnetic resonance imaging‐guided interstitial thermal therapy in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Objective This study was undertaken to design and validate a hybrid depth electrode combining stereoelectroencephalographic (sEEG) recording and magnetic resonance‐guided laser interstitial thermal therapy (MRgLITT) under real‐time magnetic resonance thermometry, to streamline the transition from invasive localization to focal ablation in ...
Bertrand Mathon, Karima Mokhtari, Damien Galanaud, Alexandre Carpentier   +3 more
wiley   +1 more source

Salience network hub dysfunction is associated with cognitive impairment in self‐limited epilepsy with centrotemporal spikes: An OPM‐MEG study

Epilepsia Open, EarlyView.
Abstract Objective Self‐limited epilepsy with centrotemporal spikes (SeLECTS), although characterized by well‐controlled seizures, is frequently associated with persistent cognitive deficits in affected children. This study aimed to investigate whether hub dysfunction of the salience network (SN) is associated with cognitive impairment in SeLECTS ...
Chen Yang, Guangsheng Wu, Nan An, Tiejia Jiang, Yilong Wang, Wenbin Zhao, Wangyang Cao, Xiaofang Wang, Haiteng Jiang, Zhefeng Yuan   +9 more
wiley   +1 more source

Preoperative Prediction of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma Using Arterial Enhancement Fraction Derived From Dual‐Layer Spectral CT

Head &Neck, EarlyView.
ABSTRACT Objective To evaluate the diagnostic value of arterial enhancement fraction (AEF) derived from dual‐layer detector spectral CT (DLCT) in preoperative assessment of cervical lymph node metastasis in patients with papillary thyroid carcinoma (PTC), and to compare its performance with other spectral CT quantitative parameters and conventional CT ...
Lili Ye, Xiangfa He, Ming Liang, Yuxin Wei, Hao Zhang, Xiaomin Liu, Xiaolin Zheng   +6 more
wiley   +1 more source

Robust Estimation and Inference for Semiparametric and Nonparametric Regression Models

Mathematics
Parametric regression methods are efficient when correctly specified but are sensitive to model misspecification and outliers. Nonparametric regression offers greater flexibility at the cost of reduced interpretability and susceptibility to the curse of ...
Hamdy F. F. Mahmoud, Ahmed AbdelWahab A. Ali, Wael Mahmoud A. Mohamed   +2 more
doaj   +1 more source

Comparison of Relapse Risk Prediction Models During Active Surveillance in Stage I Seminoma: A Retrospective Multicenter Cohort Study

International Journal of Cancer, EarlyView.
ABSTRACT To improve the prediction of relapse for clinical stage I seminoma, we aimed to validate the Boormans model (incorporating tumor size, rete testis invasion, and lymphovascular invasion) against the conventional classification (tumor size > 4 cm/rete testis invasion).
Andreas Banner, Eveline Daetwyler, Stefanie Fischer, Stephanie Schöpfer‐Schwab, Karl Pemberger, Michael Scholz, Kathrin Olesch, David Oswald, Angelina Strauch, Tim Nestler, Lukas Koren‐Wagner, Robin Zeder, Clemens Mikulits, Sebastian Lenart, Christoph Seidel, Angelika Terbuch   +15 more
wiley   +1 more source

Machine Learning Hazard Estimation with Valid Bootstrap Inference for Generalized Progressive Hybrid Censoring

Mathematics
Reliability studies frequently employ progressive censoring schemes that remove surviving units during testing, yet statistical inference under such designs remains vulnerable to parametric model misspecification.
Sherif I. Ammar, Faizah T. Alamri, Faiza A. Althubyani, Mahmoud H. Abu-Moussa   +3 more
doaj   +1 more source

The Sector Liquidity Timing Ability of Bond Mutual Funds

International Journal of Finance &Economics, EarlyView.
ABSTRACT We investigate whether bond mutual fund managers exhibit market liquidity timing skills in the U.S. corporate bond market. At the portfolio level, we find only weak evidence that bond funds adjust their overall market exposure in anticipation of changes in corporate bond market liquidity.
Zhengnan Yin, Niall O'Sullivan, Meadhbh Sherman, Yuting Chen   +3 more
wiley   +1 more source

Bootstrapping Nonparametric Prediction Intervals for Conditional Value-at-Risk with Heteroscedasticity

Journal of Probability and Statistics, 2019
Using bootstrap method, we have constructed nonparametric prediction intervals for Conditional Value-at-Risk for returns that admit a heteroscedastic location-scale model where the location and scale functions are smooth, and the function of the error ...
Emmanuel Torsen, Lema Logamou Seknewna
doaj   +1 more source

Alternative Data for Realised Volatility Forecasting: Limit Order Book and News Stories

International Journal of Finance &Economics, EarlyView.
ABSTRACT We examine whether two major alternative data sources, limit order book information and firm‐specific news, provide incremental predictive information for daily realised volatility forecasting within the HAR‐family, using a parsimonious framework to ensure practical implementation and comparability. The framework is designed for practical real‐
Eghbal Rahimikia, Ser‐Huang Poon
wiley   +1 more source

Bootstrap-quantile ridge estimator for linear regression with applications.

PLoS ONE
Bootstrap is a simple, yet powerful method of estimation based on the concept of random sampling with replacement. The ridge regression using a biasing parameter has become a viable alternative to the ordinary least square regression model for the ...
Irum Sajjad Dar, Sohail Chand
doaj   +1 more source