Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance ...

Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.

This paper proposes a two-part model for studying transitions between health states over time when multiple, discrete health indicators are available. The includes a measurement model positing ...

Researchers at Rice University and Oak Ridge National Laboratory have unveiled a physics-based model of magnetic resonance ...

Developed by one of the world's leading authorities on the subject, Dr. Peter M. Bentler, EQS provides researchers and statisticians with a simple method for conducting the full range of structural ...

This is a preview. Log in through your library . Abstract An empirical balance of payments model involving the demand and supply of imports and exports for 31 ...

Regulators need a method that is versatile, is easy to use and can handle complex path models with latent (not directly observable) variables. In a first application of partial least squares ...

Abnormalities found in the 'standard model of physics' by Fermilab and CERN could reveal a 'universal theory of everything' according to famed physicist Michio Kaku. In his latest book, Kaku, a ...