Selection of terms in random coefficient regression models

The selection of suitable terms in random coefficient regression models is a challenging problem to practitioners. Although many techniques, ranging from those with a theoretical flavour to those with an exploratory spirit, have been proposed for such purposes, no particular one may be considered as a paradigm. In fact, many authors advocate that they should be used in a complementary way. We consider exploratory methods based on fitting standard regression models to the individual response profiles or to the rows of the sample within-units covariance matrix (for balanced data) that may serve as additional tools in the process of selecting an appropriate model. We evaluate the performance of the proposal via a simulation study and consider applications to two examples in the field of Biostatistics.     

A zero-inflated non default rate regression model for credit scoring data

The aim of this paper is to propose a survival credit risk model that jointly accommodates three types of time-to-default found in bank loan portfolios. It leads to a new framework that extends the standard cure rate model introduced by Berkson and Gage (1952 Berkson, J., and R. P. Gage. 1952. Survival curve for cancer patients following treatment. Journal of the American Statistical Association 47 (259):501–15.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) regarding the accommodation of zero-inflations. In other words, we propose a new survival model that takes into account three different types of individuals which have so far not been jointly accounted for: (i) an individual with an event at the starting time (zero time); (ii) non susceptible for the event, or (iii) susceptible for the event. Considering this, the zero-inflated Weibull non default rate regression models, which include a multinomial logistic link for the three classes, are presented using an application for credit scoring data. The parameter estimation is reached by the maximum-likelihood estimation procedure and Monte Carlo simulations are carried out to assess its finite sample performance.     

A bivariate regression model for matched paired survival data: local influence and residual analysis

The use of bivariate distributions plays a fundamental role in survival and reliability studies. In this paper, we consider a location scale model for bivariate survival times based on the proposal of a copula to model the dependence of bivariate survival data. For the proposed model, we consider inferential procedures based on maximum likelihood. Gains in efficiency from bivariate models are also examined in the censored data setting. For different parameter settings, sample sizes and censoring percentages, various simulation studies are performed and compared to the performance of the bivariate regression model for matched paired survival data. Sensitivity analysis methods such as local and total influence are presented and derived under three perturbation schemes. The martingale marginal and the deviance marginal residual measures are used to check the adequacy of the model. Furthermore, we propose a new measure which we call modified deviance component residual. The methodology in the paper is illustrated on a lifetime data set for kidney patients.     

Influence diagnostics in heteroscedastic and/or autoregressive nonlinear elliptical models for correlated data

In this paper, we propose nonlinear elliptical models for correlated data with heteroscedastic and/or autoregressive structures. Our aim is to extend the models proposed by Russo et al. 22 by considering a more sophisticated scale structure to deal with variations in data dispersion and/or a possible autocorrelation among measurements taken throughout the same experimental unit. Moreover, to avoid the possible influence of outlying observations or to take into account the non-normal symmetric tails of the data, we assume elliptical contours for the joint distribution of random effects and errors, which allows us to attribute different weights to the observations. We propose an iterative algorithm to obtain the maximum-likelihood estimates for the parameters and derive the local influence curvatures for some specific perturbation schemes. The motivation for this work comes from a pharmacokinetic indomethacin data set, which was analysed previously by Bocheng and Xuping 1 under normality.     

The Geometric Birnbaum-Saunders regression model with cure rate

In this paper, we propose a cure rate survival model by assuming the number of competing causes of the event of interest follows the Geometric distribution and the time to event follow a Birnbaum Saunders distribution. We consider a frequentist analysis for parameter estimation of a Geometric Birnbaum Saunders model with cure rate. Finally, to analyze a data set from the medical area.     

The Changing Informal Labour Market in Brazil: Cyclicality versus Excessive Intervention

Although following an anti-cyclical behaviour over the last decade, Brazil's informal sector seems to have grown recently as a response to excessive government intervention in the productive system. Despite high inflation and sluggish economic performance, Brazil continues to live with low unemployment and only sporadic social unrest. A substantial informal sector is thought to be acting as a cushion to help minimize labour market instability. This paper reviews the main concepts and methodologies proposed in the literature, summarizes the results obtained by different authors, and presents some additional information on the recent informalization of the Brazilian labour markets.     

The use software ERGOSHOW in the education of health and safety at work to regardin the safety to children

It is believed that health and safety of workers should be worked with children and early teenagers, the perspective that adults are more aware of these issues by providing them with health and quality of life in their daily lives, this is want the ERGOSHOW. The choice of media means for transmitting content of Ergonomics, Health and Safety (OSH) is justified because of the great popularity of computer games are among the public of the study, thereby providing a greater assimilation of the content worked. Therefore, the aim of this study was to work with OSH issues related to children between 08 and 12 years old, city of, State of Minas Gerais, Brazil. To achieve this we used the software ERGOSHOW, quizzes, and lecture. One can see that the use of multimedia tools in the learning, especially when considering the reports of mothers according to the different behavior of children after the development of activities, such as parents in correcting posture in relation to computer use.     

Efficiency of personal protective equipment used in agriculture

Despite the practical importance of Personal Protective Equipment (PPE), both in production and in consumption, it is observed a main problem regarding the quality of many PPE?s used in Brazil. This study found a gap between the state of the art and the state of prevailing practices in the design of PPE?s, which main consequences affect the health of workers who use PPE in agriculture activities. The results of this study identified legal constraints of this occurrence, involving the validation of PPE designed for isolate agents, without the analysis of relevant activities and without prototypes experiments in more frequent use situation.     

A study of automotive workers anthropometric physical characteristics from Mexico Northwest

Due to the lack of anthropometric information in northwest Mexico, we did an anthropometric study that represents the population physical characteristics and that is reliable for the design or redesign of workstations. The study was divided in two phases. The first one was the anthropometric study of 2900 automotive industry workers in northwest of Mexico. The study includes 40 body dimensions of 2345 males and 555 females personalized to be used in future researches. Second phase includes compared anthropometric characteristics of population reported in four Mexican studies and a Colombian study against the current study. Benefits of this project are: a reliable database of anthropometric characteristic of automotive industry population for workstations design or redesign that match with the users, increase product quality and reduce economic, medical and union complains.