A5038270779- Bayesian Methods and Mixture Models
- Statistical Distribution Estimation and Applications
- Statistical Methods and Bayesian Inference
- Financial Risk and Volatility Modeling
- Advanced Statistical Methods and Models
- Colorectal and Anal Carcinomas
- Statistical Methods and Inference
- Cervical Cancer and HPV Research
- Colorectal Cancer Surgical Treatments
- Minimally Invasive Surgical Techniques
- Soil Geostatistics and Mapping
- Global Maternal and Child Health
- Image Retrieval and Classification Techniques
- Dermatologic Treatments and Research
- Stoma care and complications
- Anorectal Disease Treatments and Outcomes
- Algorithms and Data Compression
- Optimal Experimental Design Methods
- Viral-associated cancers and disorders
- Mosquito-borne diseases and control
- Geochemistry and Geologic Mapping
- Statistical Methods in Clinical Trials
- Genetic factors in colorectal cancer
- Breast Implant and Reconstruction
- Gallbladder and Bile Duct Disorders
Universidade Federal do Amazonas
2011-2023
Fundação Oswaldo Cruz
2023
Hôpital Ambroise-Paré
2011
Assistance Publique – Hôpitaux de Paris
2011
Université de Versailles Saint-Quentin-en-Yvelines
2011
Fundação Faculdade de Medicina
2005
Universidade do Estado do Amazonas
2002
Abstract Aim The aim of the study was to determine impact primary full‐thickness transanal excision (TAE) on morbidity rate following radical rectal resection for cancer. Method Fourteen consecutive patients underwent lower third cancer TAE without closure defect. They were compared with 25 matched from a prospective database 275 resections who had undergone previous (control group). confounding factors were: age, sex, body mass index (BMI), classification according American Society...
In this paper, we extend the censored linear regression model with normal errors to Student-t errors. A simple EM-type algorithm for iteratively computing maximum-likelihood estimates of parameters is presented. To examine performance proposed model, case-deletion and local influence techniques are developed show its robust aspect against outlying influential observations. This done by analysis sensitivity EM under some usual perturbation schemes in or data inspecting diagnostic graphics....
As is the case of many studies, data collected are limited and an exact value recorded only if it falls within interval range. Hence, responses can be either left, or right censored. Linear (and nonlinear) regression models routinely used to analyze these types based on normality assumptions for errors terms. However, those analyzes might not provide robust inference when questionable. In this article, we develop a Bayesian framework censored linear by replacing Gaussian random with scale...
In regression models, the classical assumption of normal distribution random observational errors is often violated, masking some important features variability present in data. Some practical actions to solve problem, like transformation variables achieve normality, are doubtful utility. this work we a proposal deal with issue context simple linear model when both response and explanatory variable observed error. such experimenter observes surrogate instead covariate interest. We extend by...
The high incidence of Zika virus (ZIKV) infection in the period 2015-2016 Brazil may have affected linear height growth velocity (GV) children exposed utero to ZIKV. This study describes and nutritional status based on World Organization (WHO) standards ZIKV during pregnancy followed up a tertiary unit, reference for tropical infectious diseases Amazon. Seventy-one born between March 2016 June 2018 were monitored anthropometric indices: z-score body mass index (BMI/A); weight (W/A); (H/A)...
To test the hypothesis that needlescopic cholecystectomies (NC) offer superior outcomes in comparison to common laparoscopic (LC).Sixty consecutive patients with gallbladder disease undergoing either LC or NC were evaluated respect differences operative time, frequency of per-operative incidents, post-operative pain, late postoperative symptoms, length scars and level satisfaction.Mean time was similar both groups. Most patients, irrespective technique, informed mild pain. had lower levels...
Chronic inflammation during morbid obesity significantly alters cutaneous tissue. Large weight loss achieved after bariatric surgery minimizes or halts damage caused by metabolic syndrome, but further deteriorates the clinical condition of skin. Postbariatric skin flaccidity produces major difficulties to plastic surgery. In this study, we analyzed differences in protein composition between patients with and those large established correlations differentially expressed proteins...
In this work, we consider the problem of finding moments a doubly truncated member class scale mixtures skew-normal (TSMSN) distributions. We obtain general result and then use it to derive in case versions skew-normal, skew-t, skew-slash skew-contaminated normal Many properties TSMSN family are studied, inference procedures developed simulation study is performed assess procedures. Two applications also provided, one them context censored regression models another field actuarial sciences.
Abstract In this paper, we utilize normal/independent (NI) distributions as a tool for robust modeling of linear mixed models (LMM) under Bayesian paradigm. The purpose is to develop non-iterative sampling method obtain i.i.d. samples approximately from the observed posterior distribution by combining inverse Bayes formulae, sampling/importance resampling and mode estimates expectation maximization algorithm LMMs with NI distributions, suggested Tan et al. [33 Tan, M., Tian, G. Ng, K. 2003....
Measurement error models constitute a wide class of that include linear and nonlinear regression models. They are very useful to model many real-life phenomena, particularly in the medical biological areas. The great advantage these is that, some sense, they can be represented as mixed effects models, allowing us implement well-known techniques, like EM-algorithm for parameter estimation. In this paper, we consider multivariate measurement where observed response and/or covariate not fully...