ArticleJournal of statistical theory and applications : JSTA2022
Weighted Bayesian Poisson Regression for The Number of Children Ever Born per Woman in Bangladesh.
Article in Journal of statistical theory and applications : JSTA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Parental Education and Children Ever Born Among Women in Bangladesh: Evidence From a Nationally Representative Survey.Public health challenges · 2026Article
- A novel approach for estimating fertility rates in finite populations using count regression models.Scientific reports · 2024Article
- Menstrual hygiene management and fertility in Togo: Exploring the causal pathways.Women's health (London, England)Article
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3 authors.
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Abstract
Number of children ever born to women of reproductive age forms a core component of fertility and is vital to the population dynamics in any country. Using Bangladesh Multiple Indicator Cluster Survey 2019 data, we fitted a novel weighted Bayesian Poisson regression model to identify multi-level individual, household, regional and societal factors of the number of children ever born among married women of reproductive age in Bangladesh. We explored the robustness of our results using multiple prior distributions, and presented the Metropolis algorithm for posterior realizations. The method is compared with regular Bayesian Poisson regression model using a Weighted Bayesian Information Criterion. Factors identified emphasize the need to revisit and strengthen the existing fertility-reduction programs and policies in Bangladesh. Supplementary Information: The online version contains supplementary material available at 10.1007/s44199-022-00044-2.
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