A5084465155- Statistical Methods and Bayesian Inference
- Health, Nursing, Elderly Care
- Effects of Environmental Stressors on Livestock
- Animal Behavior and Welfare Studies
- Bariatric Surgery and Outcomes
- ICT Impact and Policies
- Diet and metabolism studies
- Public Health in Brazil
- Nutrition and Health in Aging
- Genetic and phenotypic traits in livestock
- Bayesian Methods and Mixture Models
- Statistical Methods and Inference
- Pressure Ulcer Prevention and Management
- Patient Safety and Medication Errors
- Social and Political Issues
- Quality and Safety in Healthcare
- Injury Epidemiology and Prevention
- Human-Animal Interaction Studies
- Healthcare during COVID-19 Pandemic
- Meat and Animal Product Quality
- Medical Malpractice and Liability Issues
- Data Analysis with R
- E-Government and Public Services
- Body Contouring and Surgery
Universidade Federal do Paraná
2013-2024
Univariate regression models have rich literature for counting data. However, this is not the case multivariate count Therefore, we present Multivariate Generalized Linear Mixed Models framework that deals with a set of responses, measuring correlation between them through random effects follows normal distribution. This model based on GLMM intercept and estimation process remains same as standard integrated out via Laplace approximation. We efficiently implemented TMB package available in...
: Obesity is one of the main causes glycemic change. Failure clinical obesity treatment may lead to an increase in bariatric surgery. Dietary guidance, conjunction with disabsorptive and hormonal factors resulting from anatomical physiological changes provoked by surgery, associated food intake.To analyze intake evolution during first postoperative year Roux-en-y gastric bypass patients type 2 diabetes mellitus or alteration.: This was a longitudinal retrospective observational study. For...
Objetivo: delinear o perfil dos pacientes assistidos em um Serviço de Atendimento Domiciliar da cidade Curitiba. Métodos: desenho transversal, retrospectivo, abordagem quantitativa; coleta dados no serviço 2017; contendo as variáveis sociodemográficas e clínicas. Realizou-se análise estatística descritiva modelos regressão. Resultados: 2017 houve 1798 atendimentos 1436 pacientes. O apontou maioria do sexo feminino, média idade acima 71 anos raça branca; a procedência predominante foram...
To identify the risk of pressure injury in patients emergency care units.Descriptive, cross-sectional, and quantitative by applying Braden scale to 377 from eight units Paraná, between April September 2016. Descriptive statistics Spearman's correlation were used, with a significance 0.1% for analysis.There was prevalence risk-free (64.5%; n=243) older adults (54.6%; n=206); those at high department. Most variables preserved, emphasis on sensory perception (65.3%; n=246). The coefficient...
Researchers are often interested in understanding the relationship between a set of covariates and response variables. To achieve this goal, use regression analysis, either linear or generalized models, is largely applied. However, such models only allow users to model one variable at time. Moreover, it not possible directly calculate from correlation measure In article, we employed Multivariate Generalized Linear Mixed Models framework, which allows specification variables calculates them...
Objetivo: Investigar a associação do risco de queda com o setor atendimento e faixa etária usuários Unidades Pronto Atendimento. Método: Estudo transversal analítico realizado setembro abril/2016 em oito unidades sul Brasil. Foram amostrados 377 usuários, aos quais foi aplicada, prospectivamente, Escala Morse. A análise dos dados se deu por estatística descritiva teste qui-quadrado para as variáveis categóricas. Resultados: Houve maior prevalência alto no emergência (67,3%), baixo observação...
Researchers are often interested in understanding the relationship between a set of covariates and response variables. To achieve this goal, use regression analysis, either linear or generalized models, is largely applied. However, such models only allow users to model one variable at time. Moreover, it not possible directly calculate from correlation measure In article, we employed Multivariate Generalized Linear Mixed Models framework, which allows specification variables calculates them...