Abstract: Count models, such as the Poisson regression model, and the negative binomial regression model, can be used to obtain software fault predictions. With the aid of such predictions, the ...

Abstract: This paper introduces a novel Poisson-unit-Weibull (PUW) distribution, which is defined on a unit domain and characterized by three parameters. The PUW distribution is capable of ...

1 Division of Environmental Health Sciences, Safe Transportation Research and Education Center, University of California, Berkeley, California, USA 2 Department of Epidemiology & Injury Control ...

3 Operative Research Centre, Miguel Hernández University of Elche, Elche, Spain Objective We performed a systematic review and meta-analysis of epidemiological data of injuries in professional male ...

Log-linear Poisson models provide a principled framework for modeling such count data through covariate-dependent intensity functions. This study develops a Bayesian formulation of the Poisson ...

The claim that Elon Musk might be "killing millions" sounds like hyperbolic rhetoric, but it is an entirely predictable ...

Objective We aimed to examine the temporal trends of the association between extreme temperature and schizophrenia (SCZ) hospitalisations in Hefei, China. Methods We collected time-series data on SCZ ...

Public health has been waiting two decades1,2 for signs that human papillomavirus (HPV) vaccination prevents deaths, not only precancerous lesions and cancer. Studies in countries where HPV ...

Parallel efforts to manage adverse data occurred at the National Institutes of Health (NIH), according to the congressional ...

Bowel preparation regimens containing oral antibiotics are associated with lower risk for surgical site infection and more across all BMI levels.

The transition from a linear model in the simulation to a logistic regression model in the case–control study is intentional, as it allows us to illustrate how the concept of priors applies to a ...