Results 231 to 240 of about 23,712,988 (293)

Identification of Risk‐Related Prenatal Medication Exposure Profiles for Childhood Asthma Using the Bayesian Profile Regression: A Cohort Study Using the POMME Cohort

open access: yesPharmacoepidemiology and Drug Safety, Volume 35, Issue 11, November 2026.
ABSTRACT Purpose To identify prenatal medication exposure profiles associated with childhood asthma. Methods This population‐based cohort study used data from the POMME (PrescriptiOn Médicaments Mères Enfants) cohort, including 18 851 children born in the Haute‐Garonne area (France) in 2010 and 2015, and followed until 2023.
Solène Russo   +2 more
wiley   +1 more source

From tetrachoric to kappa: How to assess reliability on binary scales

open access: yesBritish Journal of Mathematical and Statistical Psychology, Volume 79, Issue 3, Page 744-763, November 2026.
Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
wiley   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

open access: yesAdvanced Engineering Materials, Volume 28, Issue 20, 21 October 2026.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare   +5 more
wiley   +1 more source

Bayesian semi-parametric approaches to normal/independent and elliptical distributions. [PDF]

open access: yesJ Appl Stat
Sillero-Denamiel MR   +4 more
europepmc   +1 more source

A Unified Block‐Modal Framework for Inverse Source Problems in Heat and Mass Transfer

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 19, 15 October 2026.
ABSTRACT This work presents a unified block–modal framework for inverse source identification in linear diffusive problems arising in heat and mass transfer. Starting from a general parabolic model with mixed boundary operators, the Classical Integral Transform Technique is employed to project the dynamics onto an orthonormal eigenbasis, yielding a ...
André J. P. de Oliveira   +5 more
wiley   +1 more source

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