Analysis of blood transfusion data using bivariate zero-inflated Poisson model: A Bayesian approach
type: Item
instance of: scholarly article
title: Analysis of blood transfusion data using bivariate zero-inflated Poisson model: A Bayesian approach
zbMATH Open document ID: 1423.92108
DOI: 10.1155/2016/7878325
author: Tayeb Mohammadi
author: Soleiman Kheiri
author: Morteza Sedehi
published in: Computational \& Mathematical Methods in Medicine
publication date: 2017-08-03T00:00:00Z
review text: Summary: Recognizing the factors affecting the number of blood donation and blood deferral has a major impact on blood transfusion. There is a positive correlation between the variables ``number of blood donation'' and ``number of blood deferral'': as the number of return for donation increases, so does the number of blood deferral. On the other hand, due to the fact that many donors never return to donate, there is an extra zero frequency for both of the above-mentioned variables. In this study, in order to apply the correlation and to explain the frequency of the excessive zero, the bivariate zero-inflated Poisson regression model was used for joint modeling of the number of blood donation and number of blood deferral. The data was analyzed using the Bayesian approach applying noninformative priors at the presence and absence of covariates. Estimating the parameters of the model, that is, correlation, zero-inflation parameter, and regression coefficients, was done through MCMC simulation. Eventually double-Poisson model, bivariate Poisson model, and bivariate zero-inflated Poisson model were fitted on the data and were compared using the deviance information criteria (DIC). The results showed that the bivariate zero-inflated Poisson regression model fitted the data better than the other models.
Mathematics Subject Classification ID: 92C50
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62F15
zbMATH DE Number: 6756151
zbMATH Keywords: blood transfusion data
zbMATH Keywords: bivariate zero-inflated Poisson regression model
describes a project that uses: WinBUGS
describes a project that uses: bivpois
describes a project that uses: boa
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2016/7878325
OpenAlex ID: W2520476507
Wikidata QID: Q31134791
cites work: Q4879541
cites work: Bayesian semiparametric zero-inflated Poisson model for longitudinal count data
cites work: A bivariate Poisson count data model using conditional probabilities
cites work: Bayesian Modeling Using WinBUGS
cites work: Bayesian Measures of Model Complexity and Fit
DBLP publication ID: journals/cmmm/MohammadiKS16
description: scientific article; zbMATH DE number 6756151