Genome-wide expression and protein profiles provide powerful tools for large-scale analyses of gene interaction and identification of pathways underlying cells' response to perturbations. Clustering ...
A structural equation model identified the postoperative effects that are correlated with quality of life for patients with oral cancer.
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 ...
Regularized estimation methods have become increasingly popular with the advent of 'Big Data' and machine learning methods. Regularized estimation purposefully introduces a small bias in order to ...
Structural equation modeling (SEM) is a powerful statistical approach for the testing of networks of direct and indirect theoretical causal relationships in complex data sets with intercorrelated ...
Assessing the Effect of Model Misspecifications on Parameter Estimates in Structural Equation Models
This is a preview. Log in through your library . Abstract Model misspecifications may have a systematic effect on parameters, causing biases in their estimates. In the application of structural ...
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 ...
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