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Bayesian Rank Likelihood-Based Estimation: An Application to Low Birth Weight in Ethiopia

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dc.contributor.author Bekalo, Daniel Biftu
dc.contributor.author Wanjoya, Anthony Kibira
dc.contributor.author Mwalili, Samuel Musili
dc.date.accessioned 2025-03-17T06:48:52Z
dc.date.available 2025-03-17T06:48:52Z
dc.date.issued 2024-05
dc.identifier.uri https://unilibrary.zetech.ac.ke:8443/xmlui/handle/zet/249
dc.description.abstract Low birth weight is a significant risk factor associated with high rates of neonatal and infant mortality, particularly in developing countries. However, most studies conducted on this topic in Ethiopia have small sample sizes, often focusing on specific areas and using standard models employing maximum likelihood estimation, leading to potential bias and inaccurate coverage probability
dc.title Bayesian Rank Likelihood-Based Estimation: An Application to Low Birth Weight in Ethiopia en_US
dc.type Article en_US
dcterms.publisher PLOS One


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