Bayesian rank likelihood-based estimation: An application to low birth weight in Ethiopia.

ABSTRACT:

Background

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.

Methods

This study used a novel approach, the Bayesian rank likelihood method, within a latent traits model, to estimate parameters and provide a nationwide estimate of low birth weight and its risk factors in Ethiopia. Data from the Ethiopian Demographic and Health Survey (EDHS) of 2016 were used as a data source for the study. Data stratified all regions into urban and rural are

SUBMITTER: Bekalo DB 

PROVIDER: S-EPMC11142591 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature