background: poverty and low socioeconomic status are the most important reasons of increasing the global burden of tuberculosis, not only in developing countries but also in developed countries for particular groups. the purpose of this study was to assess the association between socioeconomic factors and the number of tuberculosis patients using quantile regression for count data.   methods: t...

background: iraq fought three wars in three consecutive decades, iran-iraq war (1980-1988), persian gulf war in 1991, and the iraq’s war in 2003. in the nineties of the last century and up to the present time, there have been anecdotal reports of increase in cancer in ninawa as in all provinces of iraq, possibly as a result of exposure to depleted uranium used by american troops in the last t...

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This paper introduces a new multivariate approach for jointly modeling crash counts by severity data based on Multivariate Poisson-Lognormal models. Although the crash frequency by severity data are multivariate in nature, they have often been analyzed by modeling each severity level separately without taking into account correlations that exist among different severity levels. The new Multivar...

This paper analyses results from an investigation into the determinants of biotechnology innovation in New Zealand using a comprehensive new dataset. The theoretical framework is based on a synthesis of hypotheses drawn from four strands of the innovation literature and the empirical work utilises Poisson regression methods. The data provides strong support for the idea that smaller enterprises...

background: in the case of sensitive questions such as number of alcoholics known, majority of respondents might give an answer of zero. poisson regression model (p) is the standard tool to analyze count data. however, p provides poor fit in the case of zero inflated counts, when over-dispersion exists. therefore, the questions to be addressed are to compare performance of alternative count reg...