Bayesian Analysis for Nonlinear Regression Model Under Skewed Errors, with Application in Growth Curves

We have considered a Bayesian approach for the nonlinear regression model by replacing the normal distribution on the error term by some skewed distributions, which account for both skewness and heavy tails or skewness alone. The type of data considered in this paper concerns repeated measurements taken in time on a set of individuals. Such multiple observations on the same individual generally produce serially correlated outcomes. Thus, additionally, our model does allow for a correlation between observations made from the same individual. We have illustrated the procedure using a data set to study the growth curves of a clinic measurement of a group of pregnant women from an obstetrics clinic in Santiago, Chile. Parameter estimation and prediction were carried out using appropriate posterior simulation schemes based in Markov Chain Monte Carlo methods. Besides the deviance information criterion (DIC) and the conditional predictive ordinate (CPO), we suggest the use of proper scoring rules based on the posterior predictive distribution for comparing models. For our data set, all these criteria chose the skew-t model as the best model for the errors. These DIC and CPO criteria are also validated, for the model proposed here, through a simulation study. As a conclusion of this study, the DIC criterion is not trustful for this kind of complex model.

A curva de regressão da gonadotrofina coriônica humana é útil no diagnóstico precoce da neoplasia trofoblástica gestacional pós-molar?

OBJETIVO: avaliar a utilidade da curva de regressão normal da gonadotrofina coriônica humana (hCG) no diagnóstico precoce de neoplasia trofoblástica gestacional pós-molar (NTG). MÉTODOS: estudo longitudinal, incluindo 105 pacientes com mola hidatiforme completa (MHC) acompanhadas no Centro de Doenças Trofoblásticas de Botucatu, entre 1998 e 2005. Os títulos da hCG sérica foram mensurados quinzenalmente em todas as pacientes. Curvas individuais de regressão da hCG das 105 pacientes foram estabelecidas. A comparação entre a curva de regressão normal estabelecida em nosso serviço com as curvas individuais da hCG foi usada no rastreamento e diagnóstico (platô/ascensão) de NTG. O número de semanas pós-esvaziamento quando a hCG excedeu o limite normal foi comparado com o número semanas em que a hCG apresentou platô/ascensão. RESULTADOS: das 105 pacientes com MHC, 80 apresentaram remissão espontânea (RE) e 25 desenvolveram NTG. Das 80 pacientes com RE, 7 (8,7%) apresentaram, inicialmente, dosagem da hCG acima do normal, mas, no devido tempo, alcançaram a remissão. Todas as 25 pacientes com NTG apresentaram desvio da curva normal da hCG em 3,8±2,5 semanas e mostraram platô ou ascensão em 8,4±2,9 semanas (p<0,001). CONCLUSÕES: a curva de regressão normal da hCG pós-molar pode ser útil para diagnóstico de NTG.

Senna occidentalis Link. (Caesalpiniaceae) imbibition curves for NaCl osmotic potential levels up to 0.6 MPa

An investigation is reported on the statistical model of imbibition curves of the seeds of Senna occidentalis Link. (Caesalpiniaceae), up to Phase II (start of root emission) in osmotic potential levels (0; -0.2; -0.4 and -0.6 MPa), induced NaCl or PEG 6000. The statistical model for both solutions was y = a [1 b exp(-cx)] where y is the fresh matter of seed in g, and x the time of evaluation in h. The analysis of variance of the estimated parameters, showed that with the NaCl solution, the -0.4 and -0.6 MPa levels differed significantly from the 0 and -0.2 MPa levels, and that with the PEG solution, the -0.6 MPa differed from the rest. Prolongation of Phase II occurred as the potential decreased, with both solutions. More reduction in water uptake and prolongation of this phase occurred with the PEG treatment.

A clinical decision support system for cancer diseases

The second main cause of death in Brazil is cancer, and according to statistics disclosed by National Cancer Institute from Brazil (INCA) 466,730 new cases of cancer are forecast for 2008. The analysis of tumour tissues of various types and patients' clinical data, genetic profiles, characteristics of diseases and epidemiological data may lead to more precise diagnoses, providing more effective treatments. In this work we present a clinical decision support system for cancer diseases, which manages a relational database containing information relating to the tumour tissue and their location in freezers, patients and medical forms. Furthermore, it is also discussed some problems encountered, as database integration and the adoption of a standard to describe topography and morphology. It is also discussed the dynamic report generation functionality, that shows data in table and graph format, according to the user's configuration. © ACM 2008.

Influência do método de separação dos espermatozóides viáveis (swim-up) na eficiência de seleção do sexo de bovinos por gradiente descontínuo de densidade e o impacto no melhoramento genético animal

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Aplicação da tromboelastometria na avaliação hemostática em frangos de corte

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Reação de cultivares de algodoeiro a Ramularia areola Atk

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Impacto do aumento da concentração de CO2 atmosférico sobre o período latente e o controle biológico da ferrugem do cafeeiro

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Severidade e controle da bacteriose foliar em mudas de Eucalyptus urophyla x Eucalyptus grandis em função do nível tecnológico do viveiro

Pós-graduação em Ciência Florestal - FCA

Aplicações de redes neurais e neuro fuzzy em engenharia biomédica e agronomia

Pós-graduação em Engenharia Elétrica - FEIS

Fatores associados com a regressão da hipertrofia esquerda em diálise e impacto com mortalidade cardiovascular

Pós-graduação em Fisiopatologia em Clínica Médica - FMB

Ação antimicrobiana de compostos majoritários presentes em óleos essenciais sobre bactérias causadoras de infecções hospitalares

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Doença periodontal em pacientes com Diabetes Mellitus: influência de polimorfismos genéticos?

Currently it is clear that there are several factors that can act as modifiers of diseases, without causing them directly, but having the potential to make these conditions to progress faster and more severe. There is a growing number of studies investigating the relationship between Diabetes Mellitus (DM) and Periodontal Disease (PD), including some studies focusing on the influence of genetic factors in this process. The aim of this study was to verify through a literature review, the influence of genetic polymorphisms in the development of PD in patients with DM. PubMed and BIREME were used as databases and the terms Periodontitis or Periodontal Disease, Polymorphism, Diabetes Mellitus were searched. After a refinement in the literature, five studies were selected and they were related to chronic PD with DM and polymorphisms in cytokine genes, especially interleukin 1 (IL1) e IL6. Polymorphisms were associated with a higher concentration of pro-inflammatory cytokines in the gingival crevicular fluid of diabetic patients when compared to non-diabetic. In conclusion, it is necessary to confirm this association with longitudinal studies that must investigate a larger number of cytokine genes in order to understand the cause-effect relationship between genetic polymorphisms, DM and PD.

Systems medicine and integrated care to combat chronic noncommunicable diseases

We propose an innovative, integrated, cost-effective health system to combat major non-communicable diseases (NCDs), including cardiovascular, chronic respiratory, metabolic, rheumatologic and neurologic disorders and cancers, which together are the predominant health problem of the 21st century. This proposed holistic strategy involves comprehensive patient-centered integrated care and multi-scale, multi-modal and multi-level systems approaches to tackle NCDs as a common group of diseases. Rather than studying each disease individually, it will take into account their intertwined gene-environment, socio-economic interactions and co-morbidities that lead to individual-specific complex phenotypes. It will implement a road map for predictive, preventive, personalized and participatory (P4) medicine based on a robust and extensive knowledge management infrastructure that contains individual patient information. It will be supported by strategic partnerships involving all stakeholders, including general practitioners associated with patient-centered care. This systems medicine strategy, which will take a holistic approach to disease, is designed to allow the results to be used globally, taking into account the needs and specificities of local economies and health systems.

Eosinophil extracellular DNA traps in skin diseases

In the skin, eosinophils are found in a broad spectrum of diseases, including infectious diseases.