Results 151 to 160 of about 4,541 (238)

Comparison of Methods for Analyzing Environmental Mixtures Effects on Survival Outcomes. [PDF]

Curr Environ Health Rep
Mayer MN, Domingo-Relloso A, Kioumourtzoglou MA, Navas-Acien A, Coull BA, Valeri L.   +5 more
europepmc   +1 more source

Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI

Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3519-3535, June 2026.
ABSTRACT Purpose This study aims to develop and evaluate a fully automated deep learning‐driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single efficient workflow. Methods Our method has three main stages.
Aya Ghoul, Cecilia Liang, Isabelle Loster, Lavanya Umapathy, Bernd Kühn, Petros Martirosian, Ferdinand Seith, Sergios Gatidis, Thomas Küstner   +8 more
wiley   +1 more source

Bayesian probabilistic projections of proportions with limited data: An application to subnational contraceptive method supply shares. [PDF]

PLoS One
Comiskey H, Cahill N, Alkema L, Frazier DT, Maneesoonthorn W.   +4 more
europepmc   +1 more source

Functional diversity in agricultural landscapes: evidence of long‐term clustering and multi‐scale effects of land use on avian communities

Oikos, Volume 2026, Issue 6, June 2026.
Functional diversity (FD) is an essential community property connecting biodiversity, ecosystem functioning, and conservation objectives. In agricultural landscapes, avian communities, which play key functional roles, are facing large‐scale biodiversity erosion, largely due to land‐use changes.
Pietro Tirozzi, Olivia Dondina, Valerio Orioli, Luciano Bani   +3 more
wiley   +1 more source

Wasserstein Regression, Forecasting, and Change‐Point Detection for Daily Traffic Flow Distributions

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 3, June 2026.
ABSTRACT We develop a distribution‐valued framework for modeling, forecasting, and monitoring traffic flow counts by treating each day as a probability distribution summarized by jittered empirical quantile signatures. Inference is conducted under the 2‐Wasserstein geometry, which in one dimension is isometric to the L2(0,1)$$ {L}^2\left(0,1\right ...
Abdolnasser Sadeghkhani
wiley   +1 more source

Joint Modeling of Longitudinal and Survival Data in Public Health and Biomedical Research: A Systematic Review. [PDF]

Int J Environ Res Public Health
Wang W, Bursac Z, Hu N.
europepmc   +1 more source

Variable Selection for Illness‐Death Processes Under Dual Observation Schemes

Statistics in Medicine, Volume 45, Issue 13-14, June 2026.
ABSTRACT The classical illness‐death process offers a useful framework for studying the progression of chronic disease while jointly modeling death. In many settings the time of disease progression is not observed directly, but progression status is recorded at intermittent assessment times.
Xianwei Li, Liqun Diao, Richard J. Cook
wiley   +1 more source

Empirical Comparison of Win Ratio and Joint Frailty Models for Recurrent Event Endpoints With Applications in Oncology and Cardiology

Statistics in Medicine, Volume 45, Issue 13-14, June 2026.
ABSTRACT Composite endpoints that combine recurrent non‐fatal events with a terminal event are increasingly used in randomized clinical trials, yet conventional time‐to‐first event analyses may obscure clinically relevant information. We compared two statistical frameworks tailored to such endpoints: the joint frailty model (JFM) and the last‐event ...
Adrien Orué, Derek Dinart, Laurent Billot, Carine Bellera, Virginie Rondeau   +4 more
wiley   +1 more source

The LGR5/TFF2 ratio as a stem cell biomarker predicts high-risk status in chronic atrophic gastritis: a retrospective cohort study. [PDF]

BMC Gastroenterol
Zhang Q, Wu D, Guo F, Yang S, Bao L, Zhang R, Wang P.   +6 more
europepmc   +1 more source

Missing comparability: When genomic selection faces field variability. A case study in soybeans

The Plant Genome, Volume 19, Issue 2, June 2026.
Abstract The processing of phenotypic information prior to training genomic selection (GS) models is a key factor that is frequently overlooked. Several approaches have been proposed to isolate the genetic signal from the field variability. However, in most cases, the estimated genetic signal still carries the field variability print.
Edmundo Caballero, Julian Garcia‐Abadillo, Diego Jarquin   +2 more
wiley   +1 more source