Results 211 to 220 of about 14,818 (266)
Abstract Although full‐information maximum likelihood (FIML) estimation is widely used for diagnostic classification models (DCMs), its computational efficiency deteriorates sharply in high‐dimensional settings. This scalability challenge is increasingly critical as DCMs are applied to large‐scale assessments, psychological testing and longitudinal ...
Minho Lee, Yon Soo Suh
wiley +1 more source
Understanding the impacts of extreme weather on biological control through traveling wave analysis of a prey-predator model. [PDF]
Aktar MS +4 more
europepmc +1 more source
Abstract Standardized mean differences (SMDs) are widely used to quantify treatment effects in cluster‐randomized trials. However, covariate adjustment in hierarchical linear models reduces the residual variance components used for standardization, which artificially inflates effect size estimates and undermines comparability across studies. We propose
Juyoung Jung +2 more
wiley +1 more source
GPIHBP1 as a Biomarker of Diabetic Polyneuropathy and Vascular Complications in Type 2 Diabetes Mellitus. [PDF]
Yordanova S +4 more
europepmc +1 more source
New estimation methods for diagnostic classification models
Abstract This paper introduces a new class of estimators for cognitive diagnosis models (CDMs) based on the Cressie–Read family of ϕ$$ \phi $$‐divergences. Focusing on the loglinear CDM (LCDM), for which joint maximum likelihood estimation (JMLE) has been shown to be consistent, we propose a joint minimum divergence estimation (JMDE) framework.
Elena Castilla
wiley +1 more source
Spatial Mapping of Valence Excited-State Landscapes Using Time-Resolved Shake-Down Spectroscopy. [PDF]
Thompson HJ +24 more
europepmc +1 more source
Steady streaming in channels with a porous interior. [PDF]
Nozaleda GL +3 more
europepmc +1 more source

