Significats de hierarchical model en anglès

We consider a Bayesian hierarchical model using Markov Chain Monte Carlo methods for estimation.

In this paper, we proposed a Bayesian hierarchical model incorporating this biomarker information into consideration.

This is known as the hierarchical model of tumorigenesis.

A hierarchical model was used to assess factors at ARDS onset independently associated with hospital mortality.

The items verified a one-dimensional hierarchical model.

These results support a hierarchical model of behaviorally driven sound segregation that begins in the subcortical auditory network.

We used a Bayesian hierarchical model to estimate prevalence of and trends in infertility in 190 countries and territories.

The first method relies on a Bayesian hierarchical model that establishes connections within a set of clinically interpretable parameters.

The dementia-specific dimensions-individualcharacteristics, psychological, social and physical dimension, and environment-anddomains are presented, and put in a hierarchical model.

By algorithmic analysis, this study provides a comprehensive hierarchical model for better understanding of the correlates of proteinuria and sleep apnea.

The growth curve parameters, their (co)variance components, and environmental and genetic effects were estimated jointly through a Bayesian hierarchical model.

Factors that influenced procedural pain distress were identified by multivariable analyses using a hierarchical model with ICU and country as random effects.

Results: Compared to the standard multivariate model, the results from the hierarchical model indicate that gene-by-flavonoid interaction estimates are attenuated, but more precise.

Clearly, such a concept becomes intelligible only under the aegis of a hierarchical model of selection, as defended in this book's central thesis.

This hierarchical model, now in obvious decline, gave to American businessmen the sense of power they could not achieve through education or culture.

Results: We describe a Bayesian hierarchical model, called Bayesian Inference of Regulatory Differences, which integrates prior information and explicitly accounts for variability between experimental replicates.