49 documents found, page 1 of 5

Nonalcoholic Fatty Liver Disease and Continuous Metabolic Syndrome in Adolescen...

Introduction: Nonalcoholic fatty liver disease is the leading cause of pediatric chronic liver disease. Although nonalcoholic fatty liver disease is closely associated with obesity, its relationship with metabolic syndrome in children is not fully understood. The main aim of this study was to evaluate the association between nonalcoholic fatty liver disease and a combination of cardiometabolic risk factors in a...

Nonalcoholic fatty liver disease and continuous metabolic syndrome in adolescen...

Introduction: Nonalcoholic fatty liver disease is the leading cause of pediatric chronic liver disease. Although nonalcoholic fatty liver disease is closely associated with obesity, its relationship with metabolic syndrome in children is not fully understood. The main aim of this study was to evaluate the association between nonalcoholic fatty liver disease and a combination of cardiometabolic risk factors in a...

Caracterização das tentativas de suicídio no Serviço de Urgência do Hospital So...

Introdução: O suicídio é um complexo problema de saúde pública, resultante da interação entre fatores biológicos, psicológicos e socioculturais. Suicidam-se anualmente, em todo o mundo, segundo a Organização Mundial de Saúde, cerca de um milhão de indivíduos, o que corresponde a metade de todas as mortes violentas registadas, tendo esse número tendência a aumentar. A tentativa de suicídio é definida como um ato...

Inference in nonorthogonal mixed models

Multiple Additive Models

The models constituting a multiple model will correspond to d treatments of a base design. Using a classic result on cumulant generation function we show how to obtain least square estimators for cumulants and generalized least squares estimators for vectors \beta, l=1,...,d, in the individual models. Next we carry out ANOVA-like analysis for the action of the factors in the base design. This is possible since ...

Estimation in additive models and ANOVA-like applications

A well-known property of cumulant generating function is used to estimate the first four order cumulants, using least-squares estimators. In the case of additive models, empirical best linear unbiased predictors are also obtained. Pairs of independent and identically distributed models associated with the treatments of a base design are used to obtain unbiased estimators for the fourth-order cumulants. An appli...

13th Conference on Statistics, Mathematics and Computation: book of abstracts

We celebrate this meeting in Honour of Professor João Tiago Mexia, for his brilliant career and outstanding contribution to the field of Statistics in Portugal and abroad, and to whom we are deeply grateful for all the support, kindness and precious collaboration in our meetings! We are delighted to have this celebration, fostering strong interaction between national and international researchers, leading to a ...

Exact critical values for one-way fixed effects models with random sample sizes

Analysis of variance (ANOVA) is one of the most frequently used statistical analyses in several research areas, namely in medical research. Despite its wide use, it has been applied assuming that sample dimensions are known. In this work we aim to carry out ANOVA like analysis of one-way fixed effects models, to situations where the samples sizes may not be previously known. In these situations it is more appro...

Orthogonal Block Structure and Uniformly Best Linear Unbiased Estimators

Models with orthogonal block structure, OBS, have variance covariance matrices that are linear combinations [...]

Tests and relevancies for the hypotheses of an orthogonal family in a model wit...

A model has an orthogonal block structure if it has, as covariance matrix, a linear combination of pairwise orthogonal projection matrices, that add up to the iden- tity matrix. The range space of these matrices are associated to hypotheses of an orthogonal family. In this paper we show how to obtain tests for these hypotheses when normality is assumed and how to consider their relevance when normality is disca...