Medical and public health research often involve the analysis of count data that exhibit a substantially large proportion of zeros, such as the number of heart attacks and the number of days of missed primary activities in a given period. A zero-inflated Poisson regression model, which hypothesizes a two-point heterogeneity in the population characterized by a binary random effect, is generally...

The proportion of zero defect (ZD) outputs is as an integral characteristic a zero-inflated (ZI) process or high quality process. Different ZI processes can almost equally satisfy the same USL number defects but they produce substantially different proportions ZD products. application conventional method for capability evaluation fails to discriminate these because in method, evaluated taking i...

BACKGROUND AND OBJECTIVES In recent years, hepatitis C virus (HCV) infection represents a major public health problem. Evaluation of risk factors is one of the solutions which help protect people from the infection. This study aims to employ zero-inflated Poisson mixed models to evaluate prognostic factors of hepatitis C. METHODS The data was collected from a longitudinal study during 2005-20...