Results 91 to 100 of about 22,159 (266)

Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions

Canadian Journal of Statistics, EarlyView.
Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley   +1 more source

Model‐Informed Evaluation of Hydroxyurea Exposure During Lactation

Clinical Pharmacology &Therapeutics, EarlyView.
Hydroxyurea is a cornerstone therapy for sickle cell anemia; however, evidence guiding its use during lactation remains limited. This study aimed to develop a population pharmacokinetic (PK) model to characterize hydroxyurea disposition in maternal plasma and breast milk, and to quantify infant exposure under clinically relevant breastfeeding scenarios.
Anhar Hosawi, Kei Irie, Min Dong, Julie Ware, Russell Ware, Tomoyuki Mizuno   +5 more
wiley   +1 more source

Initiation of Gabapentin with Opioids and Risk of Respiratory Cardiovascular and Opioid‐Related Adverse Events Following Surgery for Breast Cancer

Clinical Pharmacology &Therapeutics, EarlyView.
Pain is a key determinant of quality‐of‐life following breast cancer surgery, the most common cancer operation in the United States. Gabapentinoids are frequently prescribed for pain management, yet their respiratory, cardiovascular, and opioid‐related adverse effects remain unclear.
Jyun‐Heng Lai, Anton L V Avanceña, Juan P Cata, Jamie C. Barner, Sharon H. Giordano, Chanhyun Park, Hui Zhao, Kirk E. Evoy, John K. Lin, Jennifer C. Spencer, Mariana Chavez‐MacGregor, Kelly K. Hunt, Kerollos Nashat Wanis   +12 more
wiley   +1 more source

Nonparametric quantile regression captures regional variability and scaling deviations in Atlantic surfclam length–weight relationships

Scientific Reports
The universality of the allometric model for describing the length–weight relationship in marine species has been questioned, particularly for some invertebrates such as sea urchins, clams, and barnacles.
Gorka Bidegain, Marta Sestelo, Patricia L. Luque, Eric N. Powell, Arantza Irirarte, Ibon Uriarte, Daphne Munroe   +6 more
doaj   +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

Model‐Informed Dose Optimization of Anakinra in Preterm Neonates Implications for Safe and Effective Dosing

Clinical Pharmacology &Therapeutics, EarlyView.
Anakinra, an interleukin‐1 receptor antagonist, shows promise for reducing inflammatory complications of premature birth. However, the pharmacokinetics (PK) of anakinra in neonates has not been characterized, limiting evidence‐based dosing. This study aimed to develop a population PK model for anakinra to guide dosing in preterm neonates.
Jia Li, David K. Metz, Elys Green, Gergely Toldi, Robert Galinsky, Megan Clark, Rebecka Atkinson, Ina Rudloff, Josephine C. Owen, Sara K. DiSimone, Samuel C. Forster, Steven X. Cho, Atif Majid, Graeme R. Polglase, Marcel Favilla, Pramod Pharande, Atul Malhotra, Calum T. Roberts, Scott H. Stansfield, Arvind Sehgal, Kenneth Tan, Alistair J. Gunn, Philip J. Berger, Alex Veldman, Rod W. Hunt, Claudia A. Nold‐Petry, Marcel F. Nold, Carl M. J. Kirkpatrick   +27 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

Sustainability Disclosure and Firm Value: External ESG Evaluation and the Role of Advertising Intensity

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines whether sustainability reporting becomes relevant to firm value partly through externally evaluated ESG performance and whether this process varies with firms' communication environments. Using firm‐year data on Korean listed firms from 2019 to 2021, we estimate regression models with year and industry fixed effects and ...
Jaehyun Park, Hyuk Kwon
wiley   +1 more source

CSR Disclosure Tone and Investor Signaling in IPO Prospectuses: A Textual Sentiment Analysis in U.S. Capital Markets

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines whether corporate social responsibility (CSR) disclosure in IPO prospectuses functions as a credible sustainability signal and how its credibility influences investor responses in U.S. capital markets. Drawing on a sample of 681 IPOs conducted between 2019 and 2023, we employ textual content analysis to construct a ...
Nesrine Bedoui, Aymen Ajina
wiley   +1 more source

A Self-Normalized Online Monitoring Method Based on the Characteristic Function

Mathematics
The goal of nonparametric online monitoring methods is to quickly detect structural changes in the distribution of a data stream. This work is concerned with a nonparametric self-normalized monitoring method based on the difference of empirical ...
Yang Wang, Baoying Yang
doaj   +1 more source