Analyzing health care data using count models: A novel approach to Length of Stay analysis

Abstract

Count data modeling has been extensively applied in medical sciences to analyze various healthcare datasets. Numerous probability models have been developed to address diverse aspects of healthcare data. In this study, we propose a novel count data model for analyzing healthcare datasets. Key structural properties of the model are established, and an associated regression framework is introduced to examine the effects of various covariates. Additionally, a three-inflated distribution, based on the proposed model, is presented to analyze length of stay of patients in hospitals.