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 ...

Latent factors are variables that cannot be observed directly but can be inferred from a set of observable variables. For example, in psychology, bad conduct (latent factor) can be measured by how ...

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 ...

This course consists of two sections: Section 1 demonstrates linear regression to model the linear relationship between a response and predictor(s) when both the response and predictors are continuous ...

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 Model misspecifications may have a systematic effect on parameters, causing biases in their estimates. In the application of structural ...