In behavioral, biomedical, and social-psychological sciences, it is common to encounter latent variables and heterogeneous data. Mixture structural equation models (SEMs) are very useful methods to analyze these kinds of data. Moreover, the presence of missing data, including both missing responses and missing covariates, is an important issue in practical research. However, limited work has be...

• ORA vs. B>1 indicates a higher response rate in favour of treatment A. • The DIC (Deviance Information Criterion) is commonly used to select fixed vs. random effects model • DIC represents a trade-off between model adequacy and complexity (i.e. complex models, for example a random effect vs a fixed effect model, are penalised) • The model associated with the lowest DIC is selected, considerin...

Spend your few moment to read a book even only few pages. Reading book is not obligation and force for everybody. When you don't want to read, you can get punishment from the publisher. Read a book becomes a choice of your different characteristics. Many people with reading habit will always be enjoyable to read, or on the contrary. For some reasons, this intravascular ultrasound techniques dev...

Measurement bias has been defined as a violation of measurement invariance. Potential violators-variables that possibly violate measurement invariance-can be investigated through restricted factor analysis (RFA). The purpose of the present paper is to investigate a Bayesian approach to estimate RFA models with interaction effects, in order to detect uniform and nonuniform measurement bias. Beca...