Revista Brasileira de Biometria最新文献_第2页

INEQUALITY AND DISABILITY: IN STATISTICAL TERMS, WHAT ELSE DO WE NEED TO KNOW? 不平等和残疾:从统计学角度来说，我们还需要知道什么?

Revista Brasileira de Biometria Pub Date : 2021-09-21 DOI: 10.28951/rbb.v39i3.528

P. Oliveira

{"title":"INEQUALITY AND DISABILITY: IN STATISTICAL TERMS, WHAT ELSE DO WE NEED TO KNOW?","authors":"P. Oliveira","doi":"10.28951/rbb.v39i3.528","DOIUrl":"https://doi.org/10.28951/rbb.v39i3.528","url":null,"abstract":"Social inequality is the phenomenon that differentiates between people in the context of the same society, placing some individuals in structurally more advantageous conditions than others. It manifests itself in all aspects: political, economic among others. The main causes of inequality are investment lack in social areas, health and education. Among the consequences of inequality, we highlight: increased violence, poverty, delay in economic progress; hunger, destruction and infant mortality; young marginalization people, and finally; rising unemployment. Among the main inequality types, we highlight: people with and without disabilities, regions, races; income and sex. To measure this inequality, we highlight HDI, Theil and MPI. A person with a disability is any person who presents a loss or abnormality that generates an inability to perform one or more activities, and these characteristics hinder their social inclusion, access to the labor market, transportation, education, financing and training; urban and environmental barriers, and finally; ignorance of employers. Situations like these provide disabilities people with lower wages when employed, worse purchasing power, less social participation providing greater exclusion and disadvantaged situations when compared to those without disabilities. For this work we used exploratory analysis techniques considering data sets from the 2010 IBGE Census and UNDP.","PeriodicalId":36293,"journal":{"name":"Revista Brasileira de Biometria","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85868131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

FISHER INFORMATION MATRIX FOR CROVELLI'S AND GAMMA BETA II BIVARIATE DISTRIBUTIONS 二元分布的Fisher信息矩阵

Revista Brasileira de Biometria Pub Date : 2021-06-17 DOI: 10.28951/rbb.v39i2.476

A. P. C. M. Silva, Adélia Conceição Diniz

引用次数: 0

USING ASYMMETRIC DISTRIBUTIONS FOR MODELING GENE EXPRESSION DATA 使用不对称分布建模基因表达数据

Revista Brasileira de Biometria Pub Date : 2021-06-17 DOI: 10.28951/rbb.v39i2.466

Walkiria Maria de Oliveira Macerau, L. Milan

引用次数: 0

PLOT SIZE AND SHAPE FOR FIELD TRIALS WITH FORAGE CACTUS PEAR 草料仙人掌梨田间试验的地块大小和形状

Revista Brasileira de Biometria Pub Date : 2021-06-17 DOI: 10.28951/RBB.V39I2.473

B. V. C. Guimarães, S. Donato, I. Aspiazú, A. M. Azevedo, A. Carvalho

引用次数: 0

A BAYESIAN WEIBULL ANALYSIS OF BREAST CANCER DATA WITH LONG-TERM SURVIVORS IN PARANA STATE, BRAZIL 巴西巴拉那州长期存活的乳腺癌数据的贝叶斯威布尔分析

Revista Brasileira de Biometria Pub Date : 2021-06-17 DOI: 10.28951/rbb.v39i2.469

Talita Evelin Nabarrete Tristão de Moraes, I. Previdelli, Giovani L. Silva

{"title":"A BAYESIAN WEIBULL ANALYSIS OF BREAST CANCER DATA WITH LONG-TERM SURVIVORS IN PARANA STATE, BRAZIL","authors":"Talita Evelin Nabarrete Tristão de Moraes, I. Previdelli, Giovani L. Silva","doi":"10.28951/rbb.v39i2.469","DOIUrl":"https://doi.org/10.28951/rbb.v39i2.469","url":null,"abstract":"\u0000 \u0000 \u0000Breast cancer is one of the most common diseases among women worldwide with about 25% of new cases each year. In Brazil, 59,700 new cases of breast cancer were expected in 2019, according to the Brazilian National Cancer Institute (INCA). Survival analysis has been an useful tool for the identifying the risk and prognostic factors for cancer patients. This work aims to characterize the prognostic value of demographic, clinical and pathological variables in relation to the survival time of 2,092 patients diagnosed with breast cancer in Parana State, Brazil, from 2004 to 2016. In this sense, we propose a Bayesian analysis of survival data with long-term survivors by using Weibull regression models through integrated nested Laplace approximations (INLA). The results point to a proportion of long-term survivors around 57:6% in the population under study. In regard to potential risk factors, we namely concluded that 40-50 year age group has superior survival than younger and older age groups, white women have higher breast cancer risk than other races, and marital status decreases that risk. Caution on the general use of these results is nevertheless advised, since we have analyzed population-based breast cancer data without proper monitoring by a healthprofessional. \u0000 \u0000 \u0000","PeriodicalId":36293,"journal":{"name":"Revista Brasileira de Biometria","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75863356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ESTIMATION OF THE OPTIMUM SIZE OF PLOTS FOR SOYBEAN RADIOMETER EXPERIMENTS 大豆辐射计试验最佳地块面积的估算

Revista Brasileira de Biometria Pub Date : 2021-06-17 DOI: 10.28951/rbb.v39i2.477

R. Michels, M. G. Canteri, M. A. D. Aguiar e Silva, Janksyn Bertozzi, T. C. Dal Bosco

引用次数: 0

STUDY OF TESTS FOR TREND IN TIME SERIES 时间序列趋势检验的研究

Revista Brasileira de Biometria Pub Date : 2021-06-17 DOI: 10.28951/rbb.v39i2.471

D. Paiva, T. Sáfadi

引用次数: 1

INITIAL DEVELOPMENT OF CLADODE GIANT SWEET CLONE AS A FUNCTION OF WATER AND SALINE STRESS 枝状纲巨甜无性系在水分和盐胁迫下的初步发育

Revista Brasileira de Biometria Pub Date : 2021-06-17 DOI: 10.28951/rbb.v39i2.468

L. Lucena, Álefe Chagas de Lima Costa, Antonio Dennys Melo de Oliveira, M. L. D. M. V. Leite

{"title":"INITIAL DEVELOPMENT OF CLADODE GIANT SWEET CLONE AS A FUNCTION OF WATER AND SALINE STRESS","authors":"L. Lucena, Álefe Chagas de Lima Costa, Antonio Dennys Melo de Oliveira, M. L. D. M. V. Leite","doi":"10.28951/rbb.v39i2.468","DOIUrl":"https://doi.org/10.28951/rbb.v39i2.468","url":null,"abstract":"Forage plants are considered one of the main factors for the development of livestock worldwide, for presenting high potential for phytomass production, drought tolerance, high energy value, large water reserve and easy propagation. Forage cactus stands out for its tolerance to water deficit. Aimed to evaluate the initial performance of the morphometric characteristics of Giant Sweet clone (N. cochenillifera) submitted to water and saline stresses using response surface analysis. Design used was completely randomized in a 4x4 factorial scheme, composed of four levels of water replacement, based on crop evapotranspiration (ETc): (25%.ETc, 50%.ETc, 75%.ETc and 100%.ETc) and four levels of water salinity (0, 2, 4 and 8 dS/m), with four repetitions totalling 64 experimental units. The following morphometric characteristics were evaluated: plant height, length, width, thickness, number of cladodes and area of cladodes. Eight evaluations were realized during the experimental period. Response surface analysis was used to evaluate the morphometric characteristics of the cladodes. Best water levels were between 55%.ETc and 65%.ETc and saline levels between 3.5 and 5 dS/m, maximizing the morphometric characteristics of Giant Sweet clone.","PeriodicalId":36293,"journal":{"name":"Revista Brasileira de Biometria","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81374546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

COMPARISON OF EXPONENTIAL COVARIANCE FUNCTIONS FOR BIVARIATE GEOSTATISTICAL DATA 二元地统计资料的指数协方差函数比较

Revista Brasileira de Biometria Pub Date : 2021-04-26 DOI: 10.28951/RBB.V39I1.558

Angélica Maria Tortola Ribeiro, Paulo Ribeiro Lins Júnior, W. H. Bonat

引用次数: 2

A PIECEWISE GROWTH MODEL FOR MODELING THE ACCUMULATED NUMBER OF COVID-19 CASES IN THE CITY OF CAMPO GRANDE 坎波格兰德市累积COVID-19病例数建模的分段增长模型

Revista Brasileira de Biometria Pub Date : 2021-03-31 DOI: 10.28951/RBB.V39I1.542

E. Saraiva, L. Sauer, B. Pereira, C. Pereira

{"title":"A PIECEWISE GROWTH MODEL FOR MODELING THE ACCUMULATED NUMBER OF COVID-19 CASES IN THE CITY OF CAMPO GRANDE","authors":"E. Saraiva, L. Sauer, B. Pereira, C. Pereira","doi":"10.28951/RBB.V39I1.542","DOIUrl":"https://doi.org/10.28951/RBB.V39I1.542","url":null,"abstract":"In December of 2019, a new coronavirus was discovered in the city of Wuhan, China. The World Health Organization officially named this coronavirus as COVID-19. Since its discovery, the virus has spread rapidly around the world and is currently one of the main health problems, causing an enormous social and economic burden. Due to this, there is a great interest in mathematical models capable of projecting the evolution of the disease in countries, states and/or cities. This interest is mainly due to the fact that the projections may help the government agents in making decisions in relation to the prevention of the disease. By using this argument, the health department of the city (HDC) of Campo Grande asked the UFMS for the development of a mathematical study to project the evolution of the disease in the city. In this paper, we describe a modeling procedure used to fit a piecewise growth model for the accumulated number of cases recorded in the city. From the fitted model, we estimate the date in which the pandemic peak is reached and project the number of patients who will need treatment in intensive care units. Weekly, was sent to HDC a technical report describing the main results.","PeriodicalId":36293,"journal":{"name":"Revista Brasileira de Biometria","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87275920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2