The main purpose of this article is to present a new class bivariate mixed Poisson regression models with varying dispersion that offers sufficient flexibility for accommodating overdispersion and accounting the positive correlation between number claims from third-party liability bodily injury property damage. Maximum likelihood estimation family achieved through an expectation-maximization al...

In the last decades, the use of the epidemiological prevalence ratio (PR) instead of the odds ratio has been debated as a measure of association in cross-sectional studies. This article addresses the main difficulties in the use of statistical models for the calculation of PR: convergence problems, availability of tools and inappropriate assumptions. We implement the direct approach to estimate...

Indonesia is one of the developing countries that struggling to eradicate malnutrition problem. Malnutrition occurs over a long period time can have an impact on deaths sufferers and decrease human quality life. This study aims model case occurred in Provinces during 2015 get main factors cause Variables studied consist (Y), Vitamin A consumption (X1), Exclusive breastfeeding (X2), Immunization...

There has been considerable research conducted over the last 20 years focused on predicting motor vehicle crashes on transportation facilities. The range of statistical models commonly applied includes binomial, Poisson, Poisson-gamma (or negative binomial), zero-inflated Poisson and negative binomial models (ZIP and ZINB), and multinomial probability models. Given the range of possible modelin...

There has been considerable research conducted over the last 20 years focused on predicting motor vehicle crashes on transportation facilities. The range of statistical models commonly applied includes binomial, Poisson, Poisson-gamma (or Negative Binomial), Zero-Inflated Poisson and Negative Binomial Models (ZIP and ZINB), and Multinomial probability models. Given the range of possible modelin...

Abstract Item-response models from the psychometric literature have been proposed for estimation of researcher capacity. Canonical items that can be incorporated in such to reflect performance are count data (e.g., number publications, citations). Count modeled by Rasch’s Poisson counts model assumes equidispersion (i.e., mean and variance must coincide). However, larger as compared underdisper...

Poisson regression and negative binomial regression have been widely used to model the road crashes and to predict crash frequency. Zero inflated models have been shown to be a powerful tool to predict crash frequency when crash data are characterized by preponderance of zero. This paper presents the research work aiming to correlate the road traffic crash rate with road geometry and traffic ch...

Surface-enhanced laser desorption/ionization timeof-flight mass spectrometry (SELDI or SELDI-TOF MS) has yielded predictive protein profiles for a number of clinically relevant diseases. Yet, rather than identifying specific proteins, such studies have provided diagnostic information solely based on “black box” predictors that look at differential patterns of mass spectrometry peaks. This paper...

OBJECTIVE To empirically compare the Cox, log-binomial, Poisson and logistic regressions to obtain estimates of prevalence ratios (PR) in cross-sectional studies. METHODS Data from a population-based cross-sectional epidemiological study (n = 2072) on elderly people in Sao Paulo (Southeastern Brazil), conducted between May 2003 and April 2005, were used. Diagnoses of dementia, possible cases ...