Mixture Statistical Modelling for Predicting Mortality Human Immunodeficiency Virus (HIV) and Tuberculosis (TB) Infection Patients

摘要

The purpose of this study was to identify comparable manner between negative binomial death rate (NBDR) and zero inflated negative binomial death rate (ZINBDR) with died patients with (HIV+ TB~+) and (HIV+ TB~-). HIV and TB is a serious worldwide problem in developing country. Data were analyzed with applying NBDR and ZINBDR to make comparison which a favorable model is better to used. The ZINBDR model is able to account for the disproportionately large number of zero within the data and is shown to be a consistently better than the NBDR model. Hence, as a results ZINBDR model is a superior to the data than the NBDR model and provides additional information regarding the death mechanisms HIV+TB. The ZINBDR model is shown to be a use tool for analysis death rate according age categorical.