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Birthweight-specific neonatal health: With application on data from a tertiaryhospital in Tanzania
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis [Artistic work]
Abstract [en]

The following study analyzes birthweight-specific neonatal health using a combination

of a mixture model and logistic regression: the extended Parametric Mixture of

Logistic Regression. The data are collected from the Obstetric database at Muhimbili

National Hospital in Dar es Salaam, Tanzania and the years 2009 -2013 are used in

the analysis. Due to rounding in the birthweight data a novel method to adjust for

rounding when estimating a mixture model is applied. The influence of rounding on

the estimates is then investigated.

A three-component model is selected. The variables used in the analysis of neonatal

health are early neonatal mortality, if the mother has HIV, anaemia, is a private patient

and if the neonate is born after 36 completed weeks of gestation. It can be concluded

that the mortality rates are high especially for low birthweights (2000 or less) in the

estimated first and second components. However, due to wide confidence bounds it is

hard to draw conclusions from the data.

Place, publisher, year, edition, pages
2014. , 78 p.
Keyword [en]
Birthweight, heaping, neonatal mortality, Gaussian mixture model
National Category
Medical and Health Sciences Public Health, Global Health, Social Medicine and Epidemiology Probability Theory and Statistics Obstetrics, Gynecology and Reproductive Medicine
URN: urn:nbn:se:uu:diva-227531OAI: oai:DiVA.org:uu-227531DiVA: diva2:730118
Educational program
Master Programme in Statistics
2014-06-03, Ekonomikum, Uppsala, 08:55 (English)
Available from: 2014-06-27 Created: 2014-06-27 Last updated: 2014-06-27Bibliographically approved

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