Exemplos de uso de Hierarchical models em Inglês e suas traduções para o Português
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Hierarchical models in the etiology of early childhood caries ECC;
Variables were included in hierarchical models of logistic regression.
Linear hierarchical models(or multilevel regression) for processing the data were used.
Standardized beta-coefficients were calculated separately for the two hierarchical models.
Easily drill into components in hierarchical models to configure them set parameters, initial values, etc.
This allows youto set up several types of workflows that aren't possible in centralized systems, such as hierarchical models.
In chapter 2, i proposed a framework based on hierarchical models to express niche and neutral processes.
In the hierarchical models, when analyzing the individual role of comorbidities, it was not significant from a statistical point of view.
ABSTRACT OBJECTIVE: To analyze neonatal mortality determinants using multilevel logistic regression and classic hierarchical models.
This study explores the use of hierarchical models to represent three-dimensional solids in a computationally inexpensive way.
Among these preliminary topics are rigorousdefinitions of the ising, curie-weiss and hierarchical models.
We then structured hierarchical models, preselecting variables whose association with the dependent variable showed p.
Interdependence between individuals residing in the same neighborhood was considered, hierarchical models were adopted with individuals nested in the neighborhoods.
This allows you to set up several types of workflows that aren'tpossible in centralized systems, such as hierarchical models.
In this phd thesis, i use camera traps and hierarchical models to assess relationships between the landscape and mammals or birds.
Rutter and Gatsonis proposed methods for the calculation of an sROC curve, taking into consideration the variations betweenthe studies not only by the cut-off threshold, but also by means of hierarchical models.
We built over the literature on commonality models, hedonic price framework and hierarchical models to show that the effect of commonality still survives in the secondary cars market.
The factors associated with neonatal morbidity are complex, interrelated and common to those that contribute toward low birth weight.It is therefore important to use hierarchical models to study these factors.
Identification of bottlenecks in hierarchical models might be difficult yet, due to the large number of parameters and their distribution among distinct modeling levels and formalisms.
In attempting to explain the performance of failing and non-failing pupils, we have used as a guiding line the Educational Production Function EPF approach, andas a methodological basis the hierarchical models.
Two hierarchical models were built to estimate the equation of the model for the added value in the EPF, always with the main interest in determining the positive or negative impact of school failure.
It is from the Federal University of Pelotas, in the State of Rio Grande do Sul. It considers the difference of the implicit approach in the option for one of the categories,gender or sex, in hierarchical models of epidemiological analysis.
Hierarchical models incorporate the hierarchical structure of data, assuming that the dependent variable is measured at the lowest level of aggregation, with the independent variables measured at all other levels HOX, 1995.
During the analytical phase, crude and adjusted Odds Ratios OR, with their respective 95% confidence intervals, were estimated using non-conditional multivariate logistic regression,following the assumptions of hierarchical models.
Initially, hierarchical models with normal distribution were proposed, considering the model structure measured in dierent hierarchical level, allowing a better comprehension on schools performance in obmep second phase, for each year separately.
The method used to estimate the risk of childhood malnutrition in Brazilian municipalities was based on the development of individual statistical predictive models, using multilevel analysis or hierarchical models or mixed effect models. .
The advancement of technology and simultaneously statistical methods have allowed the development of increasingly structured models for the description of complex random phenomena, whose idea is to describe realistically, the structure of this correlation in the data,which can be done through the use of hierarchical models.
The variables were grouped into a hierarchical model from distal to proximal determinants.
This analysis was conducted using a three-level hierarchical model.
The inclusion of the variables in the adjusted analysis followed a hierarchical model.