Results 121 to 130 of about 4,922 (217)

Integrative prediction of Alzheimer's disease and related dementias using multi‐omics aging clocks and genetic data

open access: yesAlzheimer's &Dementia, Volume 22, Issue 10, October 2026.
Abstract INTRODUCTION We tested whether combining Alzheimer's disease and related dementias (ADRD) polygenic risk scores (PRS) with biological aging markers improves ADRD risk prediction. METHODS In 16,215 UK Biobank (UKB) participants free of ADRD at baseline (median follow‐up: 10.08 years), 397 incident diagnoses were identified.
Shayan Mostafaei   +6 more
wiley   +1 more source

Bayesian Nonparametric Risk Assessment in Developmental Toxicity Studies With Ordinal Responses

open access: yesEnvironmetrics, Volume 37, Issue 7, October 2026.
ABSTRACT We develop a nonparametric Bayesian modeling framework for clustered ordinal responses in developmental toxicity studies, which typically exhibit extensive heterogeneity. The primary focus of these studies is to examine dose–response relationships, which are depicted by (conditional) endpoint probabilities across the dose (toxin) levels ...
Jizhou Kang, Athanasios Kottas
wiley   +1 more source

Nonparametric quantile regression for spatio-temporal processes

open access: yes
33 pages, 2 figures and accompanying supplementary ...
Deb, Soudeep   +2 more
openaire   +2 more sources

Sustainable Cities Under Pressure: Climate Risk, Oil Price Uncertainty, and Technological Innovation in GCC Countries

open access: yesSustainable Development, Volume 34, Issue 6, Page 8472-8487, October 2026.
ABSTRACT This study examines the dynamic interactions between climate risk, oil price uncertainty (OPU), and technological innovation in shaping Sustainable Development Goals (SDGs) related to Sustainable Cities and Communities (SCC) across Gulf Cooperation Council (GCC) countries from 2005 to 2024. Using a panel Time‐Varying Interactive Fixed Effects (
Mohamed Sami Ben Ali   +2 more
wiley   +1 more source

Asymptotic Normality of Single Functional Index Quantile Regression for Functional Data with Missing Data at Random

open access: yesEkonometria
This work addresses the problem of the nonparametric estimation of the regression function, namely the conditional distribution and the conditional quantile in the single functional index model (SFIM) under the independent and identically distributed ...
Anis Allal, Nadia Kadiri, Abbes Rabhi
doaj  

Joint Analysis for Multivariate Longitudinal and Event Time Data With a Change Point Anchored at Interval‐Censored Event Time

open access: yesStatistics in Medicine, Volume 45, Issue 23-24, October 2026.
ABSTRACT Huntington's disease (HD) is an autosomal dominant neurodegenerative disorder characterized by motor dysfunction, psychiatric disturbances, and cognitive decline. The onset of HD is marked by severe motor impairment, which may be predicted by prior cognitive decline and, in turn, exacerbate cognitive deficits. Clinical data, however, are often
Yue Zhan, Cheng Zheng, Ying Zhang
wiley   +1 more source

Can Green Energy Finance and Eco‐Friendly Taxes Cap Global Warming to 2 Degrees and 1.5 Degrees Celsius Above Pre‐Industrial Levels? Uncovering the Synergistic Power of Rule of Law

open access: yesWorld Affairs, Volume 189, Issue 4, Winter 2026.
ABSTRACT Anchored on the sustainable development goals (SDGs) and the Paris Agreement, which seek to limit the global average temperature to well below 2°C above pre‐industrial levels and pursue efforts to limit the temperature to 1.5°C, this study investigates how green energy finance and environmental taxes affect environmental quality, with an ...
Mohammed Musah   +4 more
wiley   +1 more source

Childhood Lead‐Exposure Prevention Through Predictive Mapping of At‐Risk Housing Nationwide: A Free, Public‐Data Screening Map Checked Against Measured Blood Lead in 11 States

open access: yesGeoHealth, Volume 10, Issue 10, October 2026.
Abstract Childhood lead exposure causes irreversible neurodevelopmental harm, and no safe blood lead level in children has been identified. Measured childhood blood lead is collected unevenly across the United States, and many areas publish no neighborhood‐level surveillance, so the children at highest risk are often the hardest to find by measurement.
Eric C. Ritter
wiley   +1 more source

Quantile-Based Fuzzy Semi-Parametric Support Vector Regression Model Based on Autoregressive Fuzzy Terms: An Estimation Approach

open access: yesTransactions on Fuzzy Sets and Systems
The semi-parametric regression model is one of the most useful statistical tools that has gained significant attention recently due to its key capability of combining both parametric and nonparametric features in one model.
Batoul Salamah   +3 more
doaj  

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