Count data regression modeling: an application to spontaneous abortion

Count data regression modeling: an application to spontaneous abortion

Abstract Background In India, around 20,000 women die every year due to abortion-related complications. In count data modeling, there is sometimes a prevalence of zero counts. This article is concerned with the estimation of various count regression models to predict the average number of spontaneou...

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Bibliographic Details
Main Authors: Prashant Verma, Prafulla Kumar Swain, Kaushalendra Kumar Singh, Mukti Khetan
Format: Article
Language:English
Published: BMC 2020-07-01
Series:Reproductive Health
Subjects:
Count data; spontaneous abortion; Poisson model
Negative binomial model
Zero hurdle negative binomial
Zero-inflated negative binomial
Regression
Online Access:http://link.springer.com/article/10.1186/s12978-020-00955-2

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http://link.springer.com/article/10.1186/s12978-020-00955-2

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