Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Julio M. Singer"'
Autor:
Tiana C. L. Moreira, Luís F. Amato-Lourenço, Gisela T. da Silva, Carmen D. Saldiva de André, Paulo A. de André, Ligia V. Barrozo, Julio M. Singer, Paulo H. N. Saldiva, Mitiko Saiki, Giuliano M. Locosselli
Publikováno v:
Frontiers in Environmental Science, Vol 6 (2018)
The analysis of chemical elements in the barks of trees is an alternative procedure to access spatial heterogeneity of traffic related air pollution. However, the role of tree species in the characterization of the variability of airborne pollution i
Externí odkaz:
https://doaj.org/article/b46cc7ee7e53443086d97176a5649da5
Publikováno v:
Jornal de Pediatria, Vol 81, Iss 6, Pp 454-460 (2005)
OBJETIVO: Analisar características ecocardiográficas e manifestações clínicas na evolução de recém-nascidos pré-termo com persistência do canal arterial e identificar indicadores mais confiáveis do fechamento espontâneo deste. MÉTODOS: S
Externí odkaz:
https://doaj.org/article/38d3bc66d411409ebb86c89385238eca
Exact statistical inference may be employed in diverse fields of science and technology. As problems become more complex and sample sizes become larger, mathematical and computational difficulties can arise that require the use of approximate statist
Publikováno v:
Clinics, Vol 74
OBJECTIVES: An objective of clinical autopsies is to determine the final cause of death and the pathological changes that may have triggered it. Despite advances in Medicine, the level of discrepancy between clinical and autopsy diagnoses remains sig
Externí odkaz:
https://doaj.org/article/baa6336fe81b4ff9bcccfb5d57ef1680
Publikováno v:
Statistical Methods & Applications. 32:57-74
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
We develop best linear unbiased predictors (BLUP) of the latent values of labeled sample units selected from a finite population when there are two distinct sources of measurement error: endogenous, exogenous or both. Usual target parameters are the
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Autor:
Viviana Giampaoli, Julio M. Singer
Publikováno v:
Journal of Data Science. 2:399-418
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
We consider a finite population mixed model that accommodates response errors and show how to obtain optimal estimators of the finite population parameters in a pretest-posttest context. We illustrate the method with the estimation of the difference
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::befe28d7ab7eb54674f79a6c7145d37c
Autor:
Julio M. Singer, Mario G. Pessoa, P.M. Ziteli, G. Garcia-Tsao, Daniel Ferraz de Campos Mazo, Flair José Carrilho, T.G. Ragazzo, Claudia Pms de Oliveira
Publikováno v:
Annals of Hepatology, Vol 24, Iss, Pp 100493-(2021)
Introduction: Liver stiffness measurement (LSM) is a widely used non-invasive test to assess the stage of liver fibrosis in chronic liver diseases, particularly in HCV but its clinical usefulness after viral elimination is uncertain. Objectives: To i