The relationship between conditions in the local environment and individual-level behavior is of general interest to many fields of research. Unfortunately, researchers often encounter situations where individuals’ locations are reported at the region-level, and modeling individual-level outcomes as a function of region-level data introduces the potential for biased estimates. We show analytica...

Breastfeeding is an important concept in the maternal life of a woman. In this paper, we focus on exclusive breastfeeding. Exclusive breastfeeding is the feeding of a baby on no other milk apart from breast milk. This type of breastfeeding is very important during the first six months because it supports optimal growth and development during infancy and reduces the risk of obliterating diseases...

Lately, bivariate zero-inflated (BZI) regression models have been used in many instances in the medical sciences to model excess zeros. Examples include the BZI Poisson (BZIP), BZI negative binomial (BZINB) models, etc. Such formulations vary in the basic modeling aspect and use the EM algorithm (Dempster, Laird and Rubin, 1977) for parameter estimation. A different modeling formulation in the ...

Intersections are established dangerous entities of a highway system due to the challenging and unsafe roadway environment they characterized for drivers other road users. In efforts improve safety, an enormous interest has been shown in developing statistical models intersection crash prediction explanation. The selection adequate form model is great importance accurate estimation frequency co...

The relationship between genetic variability and individual phenotypes is usually investigated by testing for association relying on called genotypes. Allele counts obtained from next-generation sequence data could be used for this purpose too. Genetic association can be examined by treating alternative allele counts (AACs) as the response variable in negative binomial regression. AACs from seq...

The study of time series models for count data has become a topic of special interest during the last years. However, while research on univariate time series for counts now flourish, the literature on multivariate time series models for count data is notably more limited. In the present paper, a bivariate integer-valued autoregressive process of order 1 (BINAR(1)) is introduced. Emphasis is pl...

Various statistical methods have been used to measure the impact of treatment on chronic obstructive pulmonary disease (COPD) exacerbations. Poisson regression has recently been recommended as the appropriate method but the model does not satisfactorily account for variability between patients. In contrast, use of a negative binomial model, which corresponds to assuming a separate Poisson param...

Available online xxxx Purpose: This study explored the effects of prison depopulation on local jail violence through a general systems perspective – where an abrupt shift in the processing of offenders had the potential to create ripple effects through other organizations – of the criminal justice system. Methods: In 2011, California passed the Criminal Justice Realignment legislation aimed to ...