Count data are most commonly modeled using the Poisson model, or by one of its many
extensions. Such extensions are needed for a variety of reasons:(1) a hierarchical structure …

Count data with excess zeros are common in many biomedical and public health
applications. The zero-inflated Poisson (ZIP) regression model has been widely used in …

Children's service systems are faced with a critical need to disseminate evidence-based
mental health interventions. Despite the proliferation of comprehensive implementation …

Social networking and messaging applications, such as WhatsApp, have become an
essential social environment for adolescents and young adults (AYA). While facilitating …

Microorganisms play critical roles in human health and disease. They live in diverse
communities in which they interact synergistically or antagonistically. Thus for estimating …

The count data arise in many scientific areas. Our concerns here focus on spatial count
responses with an excessive number of zeros and a set of available covariates. Estimating …

This study addresses the challenge of analyzing ecological momentary assessment (EMA)
data with zero-inflated autoregressive processes. EMA data, characterized by intensive …

Background There is currently an incomplete picture of the long‐term impact of
homelessness on youth with mental health issues. There are also questions regarding …

Background: This study aims to examine the longitudinal effects of a small-scale nursing
home model on the change rates of psychological outcomes by comparing green house …

A good understanding of the dynamics of psychological contract violation requires theories,
research methods and statistical models that explicitly recognize that violation feelings …